AI Research Lead at J.P.Morgan AI Research with a Ph.D. in Statistics from Carnegie Mellon University, where I was fortunate to be advised by professor Ann B. Lee. I develop and implement innovative AI solutions in finance, focusing on statistical machine learning, uncertainty quantification, and algorithmic fairness, which I actively publish at AI conferences. My research interests lie in deep generative models, time series analysis, temporal point processes, stochastic optimization and large language models.
Prior to CMU, I have worked for a couple of years in London as Analyst for Zynga (NaturalMotion) after pursuing an M.Sc. in Statistics at Imperial College London, where I have worked on Bayesian hierarchical models for cosmology under the guidance of Dr. Daniel Mortlock and Dr. Stephen Feeney. Before that, everything started with a B.Sc. in Mathematics and a Diploma in Government and Natural Sciences from University of Turin, Italy.
PhD in Statistics, 2021
Carnegie Mellon University
MSC in Statistics, 2014
Imperial College London
BSc in Mathematics, 2010
Università degli Studi di Torino
Diploma in Natural Sciences, 2010
Scuola di Studi Superiori 'Ferdinando Rossi' SSST