I am a second-year PhD student in the College of Information and Computer Sciences (CICS) at the University of Massachusetts, Amherst. My current research is on statistical inference under differential privacy. I'm broadly interested in statistical machine learning and privacy-preserving machine learning. I am fortunate to be advised by professor Daniel Sheldon.
Before starting my PhD, I obtained a MS in Computational Design at Carnegie Mellon University, where I was supported by the Fulbright Scholarship. Upon graduating from Carnegie Mellon, I worked as a Machine Learning Software Engineer at Cadence, Pittsburgh.
Besides research and courses, I serve as Co-Chair of the PhD Applicant Support Program. In 2021, I also co-lead the organizing committee of Voices of Data Science at UMass Amherst 2021.
PhD in Computer Science, 2024
University of Massachusetts, Amherst
MS in Computational Design, focus on Machine Learning, 2018
Carnegie Mellon University
BA+MA in Economics and Statistics, 2016
Collegio Carlo Alberto
BSc+MSc in Architecture, 2015
Politecnico di Torino