I am a PhD student under the supervision of Prof. Roberto Capobianco in Ro.Co.Co. Lab at Department of Computer, Control, and Management Engineering “Antonio Ruberti” of Sapienza University. Currently, I am a member of Knowledge, Reasoning and Learning research group .
I am a continuous learner that loves learning new concepts, also from domains and fields different from mine - psychology, astronomy and neuroscience.
My area of interest is eXplainable Artifificial Intelligence (XAI); in particular I am most interested in research that explains the behavior of black box models (e.g. Deep Neural Networks) combining tools from different areas of Machine Learning. I am deeply interested on the connection between memory, learning process and interpretability from both computational and cognitive perspectives.
My latest works focus on explainability for the Memory Augmented Neural Networks and commonsense reasoning.
I have a background in computer science and Artificial Intelligence, having a M. Sc. degree in “Artificial Intelligence and Robotics” and a B. Sc. in “Computer Science”, both from the Sapienza University.
During my master thesis I studied the problem of getting explainability on sequential tasks supervised by Prof. Roberto Capobianco. Previously I obtained by Bachelor’s degree in Computer Science at Sapienza University, under the supervision of Prof. Roberto Navigli and the help of Natural Language Proccesing Group. In 2016 I collaborated with CINI to merge two semantics knowledge graphs.