I am a fourth year PhD student in the department of Statistics & Data Science at Carnegie Mellon University. My primary research interests are statistical machine learning methodologies driven by real world problems and complex datasets, especially from the natural sciences. I am very fortunate to be advised by professor Ann B. Lee. I am a member of the Statistical Methods for the Physical Sciences (STAMPS) and I also collaborate with professor Alessandro Rinaldo and Dr. Robin Mejia.
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 & Data Science, 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'
2.7 - 3.6
MySQL - Vertica SQL