Alumni AS-AI

Alessandro Acciai
BA Communication Studies, MA Cognitive Sciences of Communication and Action (2018)
I have investigated issues concerning AI like consciousness and free will and I studied with particular attention the debate between representationalism and anti-representationalism on this field. I'm able to use EEG equipment and I'm a member of "Cosmic Lab" (Roma Tre University) in the "Philosophy of language group ", that is devoted to investigation of the cognitive and neural foundations of language, communication and social interaction. Project Title: Empath-AI Contact:
Pierangelo Afferni
Professor of Computer Science, Campus Biomedico University
I currently work at the Research Center in Advanced Biomedicine and Bioengineering (PRABB), Università Campus Bio-Medico di Roma. I do research in Bioengineering, Computer Engineering and Industrial Engineering. My current project is 'Automatic analysis of CLSM 3D tera-voxel images'. My skills and expertise focus on Computer Networking, Information Technology, Project managementm Innovation Management, Artificial Neural, Network, Computational Neuroscience, Business Innovation. Contact:
Stefano Artuso
BA in Computer Engineering - Specialization in Sound Engineering (2013)
Software Engineer and innovation enthusiast, looking to combine two passions: science of sound and computer programming. My career started with my passion for music: attracted by the science of sound, I decided to pursue my studies on Sound Engineering. This experience led me to explore scientific innovation helping the Bruno Kessler Foundation (FBK) on developing a speech recognize based tool to support teachers in the task of detect children's reading disorder by automatically finding the reading errors . I'm now working with Pedius, a startup that offer customer cares and assistance services for deaf people to help them both on simple tasks and manage emergencies. Project title: Phone calls event identification system for deaf users Contact:
Luca Badiali
MA in Physics (2019)
I'm interested in statistical and computational physics, i.e. in the investigation of the possibile links between physics and artificial intelligence and machine learning. I deepened the stydy of statistical mechanics and critical phenomena, with the stydy of the behavior of basic models ( the Ising Model mostly) in which many elementary entities interact with each other and give rise to collective phenomena. The project I'm working on aims to test how, for an artificial agent, an autonomous exploration of its sorrounding environment can be useful to perform externally assigned tasks. The learning phase should consist of the agent self-generating its own targets and goals, so that knowledge about the world and skills in interacting with its elements can be acquired and then can result useful during the test phase. Project title: Reinforcement Learning with Imagined Goals Contact:
Silvia Buscaglione
I’m very interested in understanding the functioning of the brain. In particular, my first interest is generating a bio-inspired artificial intelligence enable to help the detection of diseased area associated with some particular clinical symptoms, in order to find the best treatment. My expectation is learning how to create and use a brain model for studying disease and for controlling humanoid robots. Additionally, I hope to better understand how the brain works as well as how to develop a scientific project and subsequently an article. Project title: Neurorobotic model to study the role of serotonin in Parkinson’s disease Contact:
Alessandro Buttinelli
BA in Lettere Moderne, MA in Cognitive Sciences (2019)
Thanks to the computational skills that I am acquiring in AS-AI, I want to propose a phd project wich involves neural networks and a linguistic typology approach to study linguistic corpora based on usage, with the final aim to trace differences and analogies in the information structure of the world's languages.I'm studying the role and the effect of language on problem solving tasks (like WCST), through an artificial recurrent neural network simulating verbal working-memory, with the help and support of dott. G.Granato. Coherenly with a large theoretical background we see language as cognition-enhancing tool. Project title: Language improves goal-directed behaviour
Adriano Capirchio
MA in Neurobiology (2019)
My passion for coding started at school, when I was only a child and, during college, I found during a great interest into biology and neuroscience. Combining these fields of interest,I decided to focus my attention on the application computational methodologies to study the nervous system. Using my knowledges, I'm developing a bio-inspired AI which aim to control robotic and prosthetic system. My project in AS-AI consist in a deep learning network which takes inputs from sensors that measure the activity of Autonomous Nervous System in order to classify Human emotional status. Project title: Empath-AI Contact:
Federico Cascino
BA Natural science, MA student in Neurobiology (2017)
My interests regards the application of IA and computational models to study brain to another perspective. Beginning from the open problem of the place cells formation. I'd like to work in research linking formal models and experiments in vivo. I would like to acquire skills in developing computational models for biological neural networks and in neurophysiological techniques used in the laboratory. The school represents an excellent opportunity to obtain the theoretical bases in the field of computational neuroscience, fundamental for the thesis that I propose and for a possible future career in research. Project title: Novelty Based Learning of Place Cells in Hippocampus: Computational Models Contact:
Marco Antonio Catalano
BA in Industrial Engineering and MA in Biomedical Engineering (2019)
I'm very interested in Engineering and programming and in what AI is going to bring to this world. I always wanted to help people, but I wasn't really interested in medicine, so I've decided to contribute through the technology. For the future I'd like to work in an agency for biomedical instruments. Project title: Contact:
Marco Celotto
BA in Theoretical Physics (2019)
Despite the choice of my field of studies, I 'm fascinated by the brain and the way in which, by elaborating information, it manages to build representations of the body and the surrounding world, giving rise to mind and behavior. I would like to be able to connect my understanding of the mechanisms underlying the nervous system - that is, biology and mathematical modeling associated with the dynamics of a single neuron, of synapses and neuronal populations - with a high level knowledge of how information comes processed on a large scale to give rise to behavior. I would therefore like to acquire specific knowledge in the field of computational neuroscience and artificial intelligence. I believe in fact that decision-making algorithms will play a fundamental role in the enterprise of decoding neuronal activity. Project title: Neurorobotic model of a spiking cerebellum: trajectory prediction during a reaching task Contact:
Fabio Massimo D'Amore
BA, MA in Mathematics (1996)
Coming from software companies, I gained experience in Alitalia Airline in Rome, Italy. First understanding the airline's business with the focus on Flight Operations, then moving to the Information Technology Department, Web division as a System Analyst, to support a wide variety of business clients with custom solutions, and finally working as Project Manager on the whole project life cycle, starting from the business needs and ending with the service delivery assurance. My main role is to design functional and technical solutions, coordinate teams made up both internal or external resources and suppliers, plan the activity and control costs to achieve project goals. (PROJECTS TITLE,
Leandro De Persiis
BA, MA in Psychology, 1995
After graduation I worked on software development at different companies. At the I.C.G. (the last company in which I worked) I participated in the design development and maintenance of services for insurance companies.
Marco Giancola
BA in Mathematics, MA in Satellite Systems (2002)
I teach maths, physics and informatics and I'm passionate about science communication and writing technical and scientific dissemination articles for specialized science and ICT blogs. Moreover I worked in a software house where I projected and developed databases. I want to acquire the new technical skills I need to become a data scientist, to analyze data and to develop Machine Learning models and software. I'm looking forward to write articles and books about Artificial Intelligence and its applications. Thanks principally to the Advanced School in Artificial Intelligence of ISTC-CNR in Rome, I’m acquiring the skills that are necessary to realize my dream. My project includes the development of an artificial neural network which is a CV classifier. Project title: New Jobs in AI Contact:
Giovanni Granato
BA in Psychology, MA in Cognitive Neurosciences (2018)
I am a computational neuroscientist trained in psychology, neuroscience and artificial intelligence. I have a graduate fellowship at ITSC - CNR and my research interests concern neuro-robotic systems, computational neuropsychology, artificial Intelligence (in particular ANNs and autonomous learning). I am using a neuropsychological approach to test both humans and artificial agents, with the aim of studying high-order brain processes (from perception to consciousness) in humans and creating neuro-inspired robots with a human-like flexible behavior. I m attending the AS-AI School to acquire many new intruments of machine learning, with the aim to use them in my researches. I'm collaborating with Gianluca Baldassarre and Paolo Muratore in a project with the goal to hybridize RL and Generative models for enchant autonomous robot perception. Moreover I collaborate with Alessandro Buttinelli, Gianluca Baldassarre and Domenico Parisi in a project that aims to study the role of language in humans cognitive behaviour, implementing the inner speech in a neuro-ispired agent. Project title: Flexible goal-directed behaviour and internal attention: building blocks for consciousness? Contact:
Violetta La Franca
BA in Biology, MA in Neurobiology (2018)
I am a Neurobiologist, investigating the link between neural circuits and behaviour is my life passion. My project focuses on "Collective decision making in dynamic environments". It's leaded by Vito Trianni (ISCT-CNR researcher) and aims to the study of decentralised collective decision making in dynamical contexts, where the possible alternatives display time-varying features. The goal is to identify the right individual rules of the single agents that give rise to the desired macroscopic behaviour of the system (maximising efficiency and decision accuracy). This project is inspired from the nest site selection of honey bee swarms. Contact:
Roberto Mascilongo
PhD candidate in Geopolitics and Geoeconomics, MA in Social Anthropology and Geopolitics and Global security, Certified in economics, Broker
In our lives we are surrounded by a series of social and economic problems of varying size and relevance. Humanity has always confronted with these issues and technology has often been a useful tool, although sometimes ambivalent. This is why my mission is to implement economically sustainable solutions to these issues, using technology to improve our lives, always including of the ethical and human aspect. Project title: Future Prax Contact:
Andrea Mattera
BA in Biology, MA in Neurobiology, Ph.D in Neuroscience (2013)
I am a neuroscientist trained in electrophysiology and biochemistry. Over time I developed an interest in mathematics, programming and artificial neural networks. I took advantage of the Advanced School of Artificial Intelligence to complete my formation and gain experience in the field. The aim of my research is to build a model, based on artificial neural networks, of the different brain areas involved in the development of post-traumatic stress disorder. The model is well grounded in state-of-the-art experimental knowledge of the brain and of the disorder and will clarify how the traumatic experience is fixed in brain networks and the mechanism of action of recent established therapies. Project title: A computational model of propranolol therapy for mouse models of post-traumatic stress disorder (PTSD) Contact: Andrea Mattera (
Pierandrea Mirino
BA in Psychology, MA in Cognitive Neuroscience
My interests and studies are aimed at deepening in the field of Cognitive Neuroscience, Neuropsychology, Artificial intelligence, Spiking Neural Network Models and Neurorobotic Systems. I am currently contributing to the development of a software application capable of making an early diagnosis of dementias, in particular Alzheimer's. Project title: A spiking neuron model to study how the cerebellum learns to manage time. Contact:
Francesco Montedori
BA in Biotechnology; MA in Neurobiology (2019)
Enthusiastic researcher in neurobiology and programming of bio inspired models. I learned and refined my knowledge of these two disciplines at La Sapienza University and at AS-AI, where, in addition to an extremely well-trained team of professors, I developed excellent relationships with other students with the aim of creating a Network, for the construction of an excellent team. Combining my knowledges I aim to create computational models that can be applied in robotics, rehabilitation and life improvement. My project for the school consists in training a deep learning network to take input from the autonomic nervous system and learns to recognize an emotional state of an experimental subject. Project title: Empath-AI Contact:
Davide Montella
BA in Computer Science (2019)
I am a person interested in studying computer science as a tool to solve problems of different kinds. Now I am concentrated in the study of artificial intelligence, useful to solve very general problems. In my free time I am interested in the mechanisms of the brain to know more about how the human being works. I'm working on improving an existing project called GRAIL (Goal-discovery Robotics Autonomous Intrisecally-Motivated Learning). The goal is to design an agent capable of learning skills in a totally autonomous way, starting from zero knowledge of the world. My task is to bring improvements from the point of view of flexibility of knowledge. In particular, to learn to achieve the same goal in different ways, possibly leveraging on previously acquired sensorimotor competence. The system must also understand when it is necessary to learn a new way of doing the same thing or not. Project title: One goal many skills: learning flexible competences in a robotic scenario Contact:
Paolo Muratore
BA and MA in Theoretical Physics (2019)
I am a Theoretical Physics Student at La Sapienza University, Rome. I firmly believe in solving intelligence and consciousness. Currently growing a wide spectrum of expertise: physics and mathematics (statistical field-theory, information theory, stochastic processes), informatics (phyton for scientific computing, C/C++, javascript, machine learning), neuroscience (biophysical models of neurons and networks). I am currently enrolled, togheter with Giovanni Granato and Gianluca Baldassare, in a quest for developing new Reinforcement Learning techniques for Restricted Boltzmann Machines (RBMs) architectures. Our hope is that this new framework could potentially drive the formation of reward-based representation, better suited for the machine task, which in turn will results in overall better performances. Our test will be the successful completion of the Winsconsin Test. ( Project title,
Giovanni Pizza
BA Economics and Mangagement, MA Management, 2016
I have always been passionate about strategy, technology and organization. I played several chess competitions and all the years as student representative kept me well alive. Each man at some extent wants to overcome his own limits and make the World around better. These are all some of the motivations for which I first approached management and then I turned to digital. You must understand what is around you to protect it and you need data, processes and technology to ensure efficiency. Project Title: AI consultant able to simplify to users the complexity of regulation and to streamline bureaucratic processes Contact:
Christian Tamantini
BA and MA in Biomedical Engineering (2018)
I am a Biomedical Engineer loving robotics. I am interested in designing robotic platforms and their functional architectures to provide assistance to people who suffer neuromuscular and muscoloskeletal disorders. I think new methods such as machine learning, deep learning and reinforcement learning can help in this kind of applications. Project Title: Assessing videos about human-human interaction during the physical therapy to retarget robot-human therapy Contact:
Valerio Alfieri
Since high school I have developed a keen interest in the scientific pursuit of subjects such as mind, brain, behavior and psychiatric diseases. After studying biology as a bachelor’s degree, which gave me a new passion for living organisms in their basic cellular components, I graduated in neurobiology as master’s degree and spent one year working in a behavioral neuroscience lab researching the neural circuits of social fear. However, the discovery of computational neuroscience and AI enabled me to acquire the quantitative skills required to develop theoretical models of the brain that offer invaluable support in order to understand and simulate the functional mechanisms underlying complex behaviors. I am currently implementing a computational model based on biologically plausible neurons to simulate the brain circuits underlying social fear and their plasticity.
Samuel Algherini
With a constant desire to learn new things (“never stop learning” is my mantra) I’m actually doing an internship at E-CO E-Learning Studio on a project in collaboration with the Advanced School in Artificial Intelligence (AS-AI). My main focuses are Natural Language Processing, Machine Learning and Data Science. Meanwhile I'm also very close to get my third Master of Arts degree in "Cognitive Science of communication and action" at the University of Rome III. Previously I got a Master of Arts in Philosophy of Mind at Warwick University (UK) and a Master of Arts in Philosophy at University of Roma III. During my early studies I focused about philosophy of science (space-time and quantum mechanics), cognitive psychology and Theory of Mind; thereafter I start focusing in cognitive science, neuroscience, and actually in Natural Language Processing, Artificial Intelligence, Machine Learning, Data Science, as I mentioned above.Thanks to the school I’m collaborating with E-CO E-Learning studio to develop a text and audio classifier. Project Title: Audio/Text Classificator. Contact:
Ioana Biris
When I started my studies in philosophy, I always had an interest in what concerned artificial intelligence. Ended the course I started to explore the world of cognitive sciences, where I deepened the studies of computational psychiatry, which led me to the discovery of AS-AI. Thanks to the Advanced School I was able to discover the world of Machine Learning and computational models. Moreover, I had the opportunity to take part in many projects, one of which will be my experimental degree thesis, with which I will conclude my Master's Course. Project Title: Contact:
Massimiliano Bruni
I am very passionate about technology, especially Computer Science. Recently, I am interested in Machine Learning applied to Computer Vision. I have a Bachelor and a Master's Degree in Computer Science and Engineering, specialized in AI and ML. I have done my Bachelor thesis at CNR about deep learning applied to computer vision. My goals are to work in a big and dynamic company, which allows me to continuously grow, learn and have fun. My project is a pipeline of two deep neural networks: one to detect people silhouettes (instance segmentation) and one to understand who are those people (person identification). It is a real world project, which can be applied to video surveillance systems and I developed it for Inglobe Technologies Srl. I have also colaborated to dAIsy, a drone control system, involving a deep neural network for object detection in real-time. Projects title: Video surveillance, dAIsy. Contact: Massimiliano Bruni (
Sara D'Antonio
Thanks to Oliver Sacks' books I first learned about the human brain's potentialities. I devoted my academic life to the fascinating discipline of Neuroscience. I had the terrific opportunity to collaborate with the Social and Cognitive Neuroscience laboratory in Fondazione Santa Lucia (Rome). I had the chance to work with both clinical populations (Parkinson’s Disease) and healthy people. I became familiar with TMS, EEG and movement kinematics techniques. I am amazed by the extraordinary, bizarre potentialities of the human brain. I am eager to see what we will achieve in the future by linking them to AI. Thanks to AS-AI and with my team colleagues, I intend to classificate EEG brain signals for the future development of a Brain Computer Interface. Project title: [temporary] Classification of EEG brain signals. Contact: Sara D'Antonio (
Giulia Di Rocco
I've always been fascinated by the world we live in, as much as the world inside us and everything we, humans, build up around. I decided to enroll in Biotechnology to understand more of what is life, how does it work and what is, in practice, possible to do with that. The topics I've developed a special interest for are molecular and structural biology, neuroscience and methabolism. From neuroscience I've then discovered AI, machine learning and started studying basic informatics. AS-AI introduced me to the real research work and motivated my interest in AI. I'm planning to further explore both bio and computer science; my aim is pluridisciplinary research in various health, medical and tech-development fields. As first ever experience of research project, I'm taking part in: [temporary project tytle] Classification of EEG brain signals, together with other AS-AI alumni. email:
Carlo Fabrizio
Studying psychology and neuroscience lighted in me the passion for science. In 2019 I started to work in a behavioral neurophisiology lab, focusing on data analysis and experimental methodology. The AS-AI taught me how to implement machine learning tools for data analysis, which I retain most important for my career. I'm currently aiming to deepen my knowledge about machine learning and other data analysis tools. Project title: Simulating a working memory in a delayed match-to-sample task: A computational model based on a LSTM deep neural network. Contact:
Chiara Fanco
I graduated in Computer Science at the University of Rome “La Sapienza”, in 2019. The topic of my degree thesis at CNR (IAC) was about parallel graph algorithms. I worked for several years as backend developer. This experience allowed me to develop a solid background in coding and software engineering. My personal goal is to always increase my skills and stay updated on new technologies. This attitude led me to AS-AI where I studied the fundamentals of machine learning. In particular, I have discovered a strong interest in deep neural networks. They are a very powerful tool to solve problems that were considerd usolvable in the past. In the future I would like to combine deep learning techniques with my know-how in software engineering and parallel computing. I have collaborated to the dAIsy project. Contact:
Federica Farinella
I've been passionate about science and technology since very young age. During my MSc in Genetics and Molecular Biology I was amazed by regulatory pathways and how the system is finely tuned at many levels, also thanks to the interplay between non-coding RNAs. These intricate regulatory networks are relevant in physiological conditions for the homeostasis of the cell, differentiation or, if deregulated, in pathogenesis. It caught my interest the possibility to investigate these networks with Machine Learning (ML) and Deep Learning, to find relevant features that may be involved in pathogenesis or development. My project in AS-AI consists in making use of ML and Network analysis to investigate a proteomic dataset of cancer patients, in order to find new cancer biomarkers, find novel druggable targets and predict therapy response. Project Title: ML for Precision Medicine. Contact:
Flora Giocondo
After graduating I was sure of only one thing "wanting to do research". I had the opportunity to get to know the best research group of the ISTC-CNR that works with artificial intelligence. Here I discovered this new line of research and it fascinated me. I am a cognitive neuroscientist, investigating the link between neural circuits and behavior is my passion. I have different interests, which are reflected in different researches ranging from affordances to emotions. MOTTO: “I sogni nel cassetto se li mangiano le tarme.” (Dreams in the drawer are eaten by moths) Enrico Vaime Project Title: Aesthetic emotions Contact:
Luca Marconi
Recently admitted to an executive PhD in Computer Science at University of Milan Bicocca, I currently collaborate as Business Strategist & AI Research Fellow in an AI startup and as Research Advisor & Consultant for a well-known media intelligence and communication private consultant in Milan. My final goal is to merge academic research and education activities (and maybe a startup) within the fields of Artificial Intelligence, Cognitive Science and Complex Systems. In general, I am keen on working on inter-disciplinary cutting-edge projects allowing me both to create and manage innovation. In AS-AI I am working on a project in Computational Social Science with the Laboratory of Agent-Based Social Simulation of ISTC. The project is aimed at studying the way in which European citizens perceive democracy, by means of both a statistical study of the democracy perception in the European society and a social simulation of the emergent opinion behaviors through agent-based modelling methods. Project Title: “Democracy perception analysis: an empirical and computational study” Contact:
Francesco Mattioli
I'm trying to figure out how humans learn. What's the point? To teach machines to learn! I am currently looking for bugs within a macroeconomic simulation using neural networks. In downtime I'm teaching a neural network to read electroencephalography. Project Title: Contact:
Karim Mejri
I work as Big Data Engineer in Groupama Insurance Company. I graduated BA and MA at the University of Rome "La Sapienza", both in Computer Science. I am actually passionated about Big Data/Machine learning fields and I want to improve my skills and hopefully make some individual project using this knowledge. Project Title: Rome StreetHealth Classifier Contatc:
Carlo Nicolai
I have a Bachelor's Degree in Philosophy and Master's Degree in Cognitive Science. I'm really interested in Artificial Intelligence and Machine Learning. Thanks to the Advanced Artificial Intelligence(Istc-Cnr) I'm discovering my passion for coding and I'm acquiring new skills every day. Currently I'm collaborating on Empath-AI project. In particular, we are using deep neural networks and computer vision to improve e-learning systems. Project title: Empath-AI Contact:
Francesco Palini
Since I was a child, I have always loved maths, in particular for the accuracy with which it defines concepts in order to use them to prove new things. I have never seen a line of code before choosing the Computer Science degree, when I realized that I wanted to solve real problems using maths in a practical way. During the university years, I was really "hungry" (citing Steve Jobs) to learn all about the computer science fields. Some of the courses that fascinated me most were Algorithms, Big Data and Artificial Intelligence. Now, I am a Research Fellow at "Sapienza" University, Department of Statistical Sciences, working on Big Data analysis in Bioinformatics. My interest in Artificial Intelligence, in particular Machine Learning, led me to increase my knownledge, following the courses at the Advanced School in AI. Project Title: dAIsy Contact:
Alessandro Pignatelli
I've got a Msc in Physics in 2000 and a PhD in Geophysics in 2004. Actually I’m a scientist of INGV. I work with many different research groups on many different topics as my skills are basically as data analyst and scientific software developer. Basically I try to help scientists to find the mathematical pathway to solve get a specific goal and develop user-friendly software to perform such analysis in many different scenarios. I can code in C++, Matlab, R and (during the school) I have learnt also Python. My school project is focused on use of A.I. to estimate earth magnetic field sources. Contact:
Chiara Ponte
I am a PhD Student in Neuroscience at the University of Genoa. My PhD focuses on acquisition and analysis of different motor performances in patients with Parkinson’s Disease. This analysis has the aim to detect biomarkers that could allow clinicians to track disease progression in order to define physical and pharmacological treatment that helps to postpone patients motor degeneration. During the first year of my PhD, I suddenly realized the limits of studying the disease effects on gesture alteration without understanding the neurophysiological causes that generated those changes. For this reason I’m getting passionate aboout AI, more precisely Computational Models, I believe that those techniques will play a fundamental role in closing the loop in motion analysis. With my PhD supervisor Elisa Pelosin and my professor Daniele Caligiore I am developing a computational model that aims to give insight about motor learning in three different populations: young, elderly and PD patients.
Pietro Pratense
Bearded. Technology Enthusiast. Natural-born Human. My passion for technology began with a small yellow GameBoy. It led me to deepen and increase over the years the interest towards digital instruments. After my BA degree I had the opportunity to do a short experience in 3Net and Engineering in the IT field, which taught me the value of teamwork and the importance of technology in business processes. Subsequently I undertook a MA degree in Economics, with a focus on knowledge management, successfully achieving a master’s thesis on the benefits and risks of AI in the field of human resources. I know the fundamentals of Python and R. I recently embarked on a course at TAG Innovation School to take on the role of Digital Officer. Project: AI for Human Resources in Social Media [Work in Progress] Contact:
Daniele Tavernelli
I love algorithms and models to solve hard real problems. AI helps me in facing challenges that are usually intractable with classic techniques. My objective is to combine business knowledge off a target customer's domain and AI models to solve practical problems. My project is about increasing "Driver mobility intelligence" in a Ride Hiling context, allowing a driver to maximize its profit. Progect title: A recommender system for drivers in a Ride Hiling context. Contact:
Leda Tortora
Nowadays, artificial intelligence and its broad applications hold great potential, far and beyond the research field and, as a neuroscience graduate, I recently got fascinated by its promising interaction with my field of study. The constant passion for learning, and precisely the goal to develop programming skills in an interdisciplinary team, introduced me to the AS-AI postgraduate school. I am particularly passionate about neuroprediction and its potential use in forensic psychiatry and forensic neuroscience for various applications, such as enhancing the predictive accuracy of risk assessment tools and discover new useful biomarkers to improve early diagnosis. My long term goal is to use artificial intelligence techniques to build robust and efficient models able to enhance our real understanding of complex processes occurring in the human brain. I am also very passionate about AI ethics and explainable AI. My AS-AI projects focus on the use of deep learning techniques to analyse a vast dataset of neuroimaging data, and also to use Natural language processing techniques to analyse speech and text data to identify features able to help us identifying and predicting psychiatric diseases. Contact:
Simone Traversa
I'm a newbie in the AI field, even if I've always benn fascinated by this world. After a three years job experience in a publishing house I decided to change my professional path and I attended the AS-AI school. I'm interested mostly in industrial application of the technology, but looking at the social and ethical consequences. For this reason I decided to join the Empath-AI project, trying to improve the recommendation and teaching system of the massive online courses, aiming to build a system capable of recognize the students involvement Project Title: Empath-AI Contact:
Emiliano Trimarco
My educational path has been always driven by a strong interest in autistic spectrum disorder. After my bachelor's degree in Psychology, I earned the Applied Behavior Analysis (ABA) Certificate. Currently, I'm attending the Master Programme in Cognitive Neuroscience, because I deeply desire to combine my previous knowledge with new research tecnologies. My research project simulates some typical behaviors of autism using a computational model. The model on the cerebellum is developed starting from behavioral data of abnormal conditioned response timing in eyeblink conditioning. Project Title: Spike neural networks of atypical cerebellar processing on eyeblink conditioning in autism Contact:
Lorenzo Barbato
B.Sc. in Mechanical Engineering
I am a Mechanical Engineer devoted to the informatic sector with a strong vocation towards multidisciplinary matters. My current remit is based on building a Neural Network for the protection of Natural Parks (sponsored by CNR-IIA). My expectation for the future lays on working as resarcher in the world of Artifical Intelligence with a focus on environmental aspects, such as pollution reductions and sea water safeguard. Contact:
Stefano Bargione
B.Sc. in Sciences and Psychological Techniques, M.Sc. in Applied Experimental Psychologogical Sciences
Interested in the study of mind and brain from a multidisciplinary perspective, with particular focus on embodied theories of cognition, perception and action. In the future, I aspire to become a Computational Neuroscientist, combining interactive multimodal technologies and immersive auditory environments. My goal is to work at the intersection of AI, Sound Design and Neuroscience, to investigate the neural correlates of action sounds and their links with self-body perception and spatial cognition. Project Title: Machine learning classification of EEG data Contact:
Francesca Bentivoglio
B.Sc. in Biomedical Engineering, M.Sc. in Bionics Engineering (2019) Research Assistant at Campus Bio-Medico of Rome
I am working on full-time research activities in the fields of robotics for neurorehabilitation and of motion biomechanics. I am focusing on software development and on data analysis (mainly kinematics/kinetics and physiological but also psychological and clinical) related to walking/balance assessment and to lower limb wearable exoskeletons, with applications to stroke and spinal cord injury neurorehabilitation.
Irene Bernava
B.Sc. in Physics, M.Sc. in Physics of Complex Systems
Presently I am teaching Mathematics and Physics with a focused attention on dyscalculia and learning disabilities. I have a strong interest in studying dyscalculia whithin the context of Computational Neuroscience.
Francesca Bertino
B.Sc. in Psychology and social processes M.Sc. in Cognitive Neuroscience
I am interested in studying human communication behavior, both verbal and non verbal, trough artificial intelligence tools. I'm strongly interested in human-robot interaction as a way to theoretically study this behaviors and as a aid to people with psychologically or neurological driven communication deficits. I am currently working as data engineer and looking for a phd in this field.
Monica Biggio
B.Sc. in Sciences and Psychological Techniques, M.Sc. in Mind Sciences, PhD in Neuroscience
I'm a postdoctoral researcher at University of Genoa in the field of neuroscience and psychophysiology. I have always been fascinated with technology and I'm always up to date with the latest techiques to study the brain and the human behaviour. Finally I found in Machine Learning a way to improve my research activity. Project title: Developing ML classification and clustering algorithms for diagnosis of Multiple Sclerosis Contact:
Andrea Brullo
COMPUTER ENGINEERING (Politecnico di Torino)
I am a student of computer engineering with a strong interest in cognitive functioning and how these two fields can be merged to create and solve problems of higher complexity. Bringing point efficient and innovative solutions making the most innovative methodologies and algorithms of AI. I hope in the near future to be able to apply and expand my knowledge in the field. Contact:
Sebastian D'Addario
B.Sc. in Psychology, M.Sc. in Cognitive Neurosciences, PhD student in Behavioral Neuroscience
I’m a PhD student in Behavioral Neuroscience, curricula Psychobiology and psychopharmacology. My research field focuses on susceptibility to depression and addiction-like behavior in animal models. I use pharmacological, behavioral and molecular approaches to investigate brain functions in normal and pathological conditions.
Luigi De Angelis
Doctor of Medicine (MD) graduating in June 2022
I'm a med student interested in research and innovation. I would like to use my expertise in the biomedical field to bring AI-based systems into real-world clinical applications. I'll soon start my last year at University of Rome Tor Vergata, during this period I will explore different areas of research, including Public Health and computational pathology. Contact:
Giuseppina De Felice Proia
M.Sc. in Telecommunication Engineering (2011), PhD in Geoinformation (in progress), Secondary School Computer Science Teacher
I am totally devoted to Science and I think that lifelong learning has a pivotal role in human society, so I have never stopped broadening my knowledge. Learning is the key to living a fulfilling and rewarding life and this is the message I try to get across at school among my students. I am attending a PhD in Geoinformation at the University of Rome “Tor Vergata” in the framework of an ESA Earth observation project that aims at advancing our understanding of the carbon cycle and management of forests, biodiversity and ecosystems through the retrieval of biomass by using satellite data. In 2017 I joined the Aerospace Committee of the Order of Engineers of Rome and since then I have been giving my contribution to conferences, technical magazines and collaborations with schools. I had the opportunity of deepening my knowledge in the field of machine and deep learning by the Advanced School of Artificial Intelligence (AS-AI) through which I have started a collaboration with the CNR Atmospheric Pollution Institute (CNR-IIA) to develop machine learning algorithms to monitor air quality. Contact::
Filippo Pianca
B.A. (2018) and M.A. in Philosophy (2020) M.Sc. in Artificial Intelligence (Ethics and Law - 2021)
While attending a Philosophy of Mind class at the University of Vermont (USA), I came across the subject of artificial intelligence, becoming passionate about it. Since then I have been investigating its social, ethical, political, and anthropological implications, grounding my research on solid technological and scientific skills. My goal is to intertwine the study of AI with my passion for bioethical issues, from a competent and expert applied ethics perspective. I enjoy working on projects in an anti-disciplinary way, that is, in a way open to inter-epistemological dialogue, bringing together AI, robotics, neuroscience, medicine, and philosophy (among others). During the Advanced School in AI, I worked on a scientific publication on the concept of autonomy in artificial agents, crossing technical knowledge and philosophical notions.
Danilo Tetesi
B. Sc. Psychology + 60 ECTS in Biology and M.Sc. in Cognitive Neuroscience (June, 2021). Master in Digital Marketing (WEX in User Experience)
I am a multipotential professional with skills in different topics. The best example of it is showing in the different projects where I am actually participating. In fact, now I am doing a research project in CamCID (Cambridge Center for Innovation and Development), I am developing my thesis/research in AI2Life, and I am developing a project on the re-organization of Fast Charge Sapienza (a team of student that realizes an electric car to run in Formula E Student). My final goal is to do research and innovation in companies because I will love to see ideas and projects from laboratories directly in everyday life.You can also see my multiple skills and expertise with a rapid vision on my LinkedIn profile; I can be in an interdisciplinary team and produce results in different contests. In AS-AI, I am working on my thesis that will be about face recognition; I will also look at how a "damage" of the artificial neural network can be useful in the reproduction and study of prosopagnosia (inability to recognize human faces). I am starting to think about how can be managed the new education system in AI2Life and increase the quality and opportunity to develop students' soft skills during the studying period and after. contact:
Riccardo Vasellini
BSc Civil & Environmental Engineering - University of Pisa (2017) MSc Project Management, Finance and Risk - City, University of London (2019)
Currently working full time as Project Manager and Business Strategist for Real Estate and Green Energy SMEs. In the AI world my ambition is to apply Agent Based Modelling to gain valuable insights on Complex Systems. I believe the study of Emergent Phenomena and Systems Dynamics can be a useful resource for companies and policy makers. It can help predict consumer trends, plan urban spaces, understand customer behaviours, expose supply chain problems, analyse financial products and much more. Right now, inspired by Lo’s Adaptive Market Theory and Buchanan’s Econophysics ideas, I’m working on an Agent Based Model of Financial Markets. I’m constantly looking for innovative start-ups to join, support or invest in.
Francesco Vetere
Just graduated in Philosophy of Science in the field of epistemic and conceptual problems of modern physics. My goal is to merge philosophical research in the scientific field with applied research of artificial intelligence in both the physical and neuroscientific fields. Project Title: eAttention. Contact:
Frederick Richard
Bachelor's in Engineering Sciences (Specilialization: Electronics, graduating in July 2021)
A Linux hobbyist by day. By night, I like a healthy sleep schedule. In between, my interests include wanting to apply/exploit the findings and principles of Complex Adaptive Systems and Neuroscience in unconventional robotics and AI. Specifically, to study the evolution of locomotion and motor control for bio-inspired robots. As a weak interest, I like to think and learn about societal systems as dynamical systems for tea time. Project Title: GOAL Robots. Contact:
Carlo Abate
BSc in Physics (2007), MSc in Astrophysics (2009), PhD in Astrophysics (2014)
I studied physics to find out why the sky is blue (and not green). This whole thing went out of hand and led me to work as an astronomer at the Universities of Utrecht, Nijmegen and Bonn. I joined Deep Blue in 2019 and have since been involved in several EU-funded projects devoted to investigating different aspects of the Aviation domain, such as: its impact on the Earth climate and measures to reduce it; the development of an integrated risk assessment framework and of a taxonomy of Human-Factors-related incidents and accidents in the aviation and maritime domains; the interconnections and integration of the European air transport system with other transport modes; and the development of methodologies for trajectory prediction in the pre-tactical phase of air traffic control.
Rodolfo Boraso
BA degree in Administration Sciences (2014), MA degree in Law (2017). Master in Cybersecurity (2020)
I attained a MA in Law at the University of Torino. After my degree, I obtained a Master's degree in Cybersecurity at the University of Pisa and CNR. For 20 years I have carried out technology transfer on data center technologies at a research organization in Turin for the Public Administration and for small and medium-sized enterprises. I have followed the evolution of cloud computing since the beginning and I have carried out project and developed activities for the construction of private clouds. I am currently interested in the evolution of artificial intelligence and specifically the impact it has on cloud computing, cybersecurity and computational linguistics.
Samuele Carli
CTO, R&D at Entersys s.r.l.; B.Sc. and M.Sc. in Computer Science
Passionate about science and robotics since childhood, I studied electronics and computer science with a focus on scientific applications. During my past experience at CERN I also got familiar with hard problems, big teams, multicultural environments and particle physics. Currently, as CTO at Entersys, I'm looking into ways of applying AI methods to meet the information and automation needs of small and growing businesses.
Agnese Giovannetti
BSc in Biotechnology (2013), MSc in Genomic, Industrial and Environmental Biotechnology (2015), PhD in Human Biology and Medical Genetics (2019)
During my studies, I developed a strong interest for bioinformatics applied to the study of the human genome. I am currently a researcher in bioinformatics, working on the analysis of data coming from DNA sequencing and I am focused on trying to understand how DNA sequence variants can contribute to the onset of human diseases. Since DNA sequencing experiments generate a huge amount of data, they require several tools to be analyzed. In this context, my goal is to deeply understand how AI methods work and how to choose their best application to integrate and develop new tools to analyze DNA sequencing data, with the intent to improve our knowledge on human genome. Contact:
Arianna Graciotti
BA degree in Humanities (2012), MA degree in Italian Studies, European Literary Culture, Linguistics (2015). Solutions Consultant at a leading company in artificial intelligence applied to text
I attained a MA in Linguistics at the University of Bologna, in which I developed a strong interest in the intersection between language and technology. After my degree, I started a career in Computational Linguistics. I am currently employed as a Solutions Consultant at a leading company in Artificial Intelligence applied to text. In this role, I coordinate the successful delivery of end-to-end AI solutions for the automation of language-intensive processes. By attending AS-AI, I pursue the goal of deepening my comprehension of the potential of Machine Learning approaches in building real-world NLP applications. Also, I would like to investigate the social impact of AI and the risks associated with large-scale deployment of language-based technology. As a general goal, I am keen to integrate the knowledge that I will absorb during the school with my professional skills, so to be able to actively contribute to the research in the AI and NLP fields.
Francesco Mainiero
BA degree in Psychology and Health (2018), MA degree in Cognitive Neuroscience and Psychological Rehabilitation (2020)
Since my adolescence, I have had a deep passion for neuroscience and informatics. I have chosen the AS-AI because I’m interested to explore new solutions, starting from the study of the brain and arriving at the creation of new applications in the AI field. Specifically, I love the idea that scientific research can improve people's quality of life, through the advancement of methods of prevention, diagnosis, and treatment. My research field focuses on behavioral addictions, autism spectrum disorders, and mindfulness. Contact: Francesco Mainiero (
Mario Miozza
Ph.D. Candidate Management
I am a Ph.D candidate in Business Management. My research interest is to understand how "Digital Transformation" affects organizations. For my future career I believe it is necessary to develop technical knowledge to be competitive on the job market.