About me

I am a postdoctoral researcher in the Department of Information Engineering (DEI) at the University of Padua, working in the Artificial Intelligence, Machine Learning, and Control (AMCO) group, advised by Prof. Gian Antonio Susto.

I study the evaluation of machine learning systems under constraints that arise in practice, especially around fairness and privacy. Much of my work focuses on attribute-unaware settings, where sensitive demographic information is unavailable or restricted. I develop benchmarking and experimental pipelines to assess performance across groups, quantify uncertainty under distribution shift, and analyze the privacy risks of aggregate demographic estimation alongside mitigation strategies.

Previously, I completed my PhD in Computing Science at the University of Glasgow, where I was part of the Glasgow Information Retrieval Group and supervised by Dr. Richard McCreadie and Dr. Jeff Dalton. My doctoral research focused on transfer learning, with an emphasis on predicting when knowledge transfer between tasks is likely to help, in order to reduce the cost of trial-and-error training.