I am an Assistant Professor of Biostatistics at the Division of Biostatistics at the Department of Population Health, NYU Grossman School of Medicine. I am also a Research Advisor at Google DeepMind, working with Ramin Zabih. I served as a Visiting Researcher at Google from 2022 to 2025.
Previously, I was an Assistant Research Professor of Biostatistics at the Biostatistics Center and the Department of Biostatistics and Bioinformatics at the George Washington University School of Public Health, and a postdoctoral associate at the Cornell TRIPODS Center for Data Science and Cornell Tech mentored by Dr. Nathan Kallus and Prof. Thorsten Joachims.
My research focuses on the development and applications of causal, statistical, AI and data science methods for optimal decision making using real-world and experimental data.
PhD in Biostatistics, 2018
Karolinska Institutet
Research assistant, 2014
Karolinska Institutet
MSc in Biostatistics, 2012
University of Milano-Bicocca
BSc in Statistics and Computer Science, 2009
University of Padua
Current PhDs:
Principal Investigator; NIH-NIAID #1R01AI197146-01; 08/06-07/31; Total Award (USD): 1,197,688.00
Principal Investigator; NSF #2306556; 08/23-07/27; Total Award (USD): 1,168,412.00
NYU:
EHSCGA 2341 - Statistical Learning; PhD-level class; Fall 2022
EHSCGA 2342 - Statistical Inference II; PhD-level class; Spring 2023-2026
EHSCGA 2337 - Modern Methods for Causal Inference; PhD-level class; Fall 2023, Fall 2025
External to NYU:
When I’m not immersed in biostatistics, I enjoy reading contemporary history and science fiction. I’m a Liverpool FC supporter. To stay active, I run regularly. Music is another passion of mine, I love both listening and creating, especially electronic and film music. Over the past few years, I’ve launched several electronic music projects using Ableton Live.
And last but not least, I spend as much time as possible playing with, cuddling, and spoiling my fluffy dog, Mister Pom Princess ``PK” Cake.