Involved in projects like the Adaptive Experimentation Accelerator, which won the 2023 XPRIZE $1M Digital Learning Challenge. Published several papers, including 'Dynamic testing of volatility models’ calibration using E-values' and 'On the finite-sample and asymptotic error control of a randomization-probability test for response-adaptive clinical trials'.
Research Experience
Collaborated with institutions such as the University of Cambridge, National University of Singapore, University of Toronto, ISTAT, and NADO Italia. Also worked with cancer research foundations and intergovernmental associations like FAO.
Education
PhD in Statistical Sciences from Sapienza University of Rome in 2021; MSc in Statistics and Decisions from Sapienza University of Rome in 2017; MSc in Mathématiques, Informatique, Décision and Organisation from Université Paris Dauphine in 2016.
Background
Tenure-track Assistant Professor in Statistics at the MEMOTEF Dept at Sapienza University of Rome, with side gigs as Visiting Faculty Researcher at Google and MRC - Biostatistics Unit, University of Cambridge. Her research interests include uncertainty quantification, Bayesian-frequentist interplay, reinforcement learning, multi-armed bandits, and conformal prediction. She is also an editorial board member of YoungStatS and an associate editor of Trials.
Miscellany
Enjoys traveling, Italian coffee, golfing, and yoga.