I am an Assistant Professor (RTDa) in Statistics at the MEMOTEF Department of Sapienza University of Rome (IT), and a long-term visitor at the MRC - Biostatistics Unit, University of Cambridge (UK), where I was a Postdoc in late 2020 — 2021.
I collaborate with different academic (and other research) institutions worldwide, most of which I visited during my PhD. The most active collaborations include University of Cambridge, National University of Singapore and University of Toronto, where I am also part of the IAI Lab. I am in the editorial board of YoungStatS, the blog of Young Statisticians Europe (YSE), and curate the Women in Statistics and Data Science Twitter account. I am also a member of IMS, ACM and SIS.
I embrace diverse areas of statistics. My primary research interest lies in exploring and developing statistical methods and theory in the context of sequential decision-making problems, intersecting areas of Statistical Inference, Bayesian statistics, Reinforcement Learning (RL) & Multi-armed Bandits (MABs), and Adaptive designs / experiments. More specifically, my current focus is: 1) on using MABs and RL for informing the design of adaptive experiments, in clinical trials and mobile-Health experiments (healthcare, education and other behavioral sciences); and 2) valid inference in adaptively collected data. More recently, I become interested in copula models for data dependencies.
My research is inspired by the numerous challenges arising in real-life applications that are characterized by a sequential nature. I strongly believe that the theoretical and methodological progress should go along with the concrete real-world needs, and be not simply good, but also good for something.
PhD in Methodological Statistics, 2021
University of Rome La Sapienza
Double Degree (MSc) in Bayesian Statistics and Decision Sciences, 2017
Universitè Paris Dauphine & University of Rome La Sapienza