I am a Tenure-track Assistant Professor (RTT) in Statistics at the MEMOTEF Department of Sapienza University of Rome (Italy). I also hold joint positions as Visiting Faculty Researcher at Google and as Visiting Researcher at the MRC - Biostatistics Unit, University of Cambridge (UK).

Previously, I was a Postdoc in Biostatistics at the MRC - Biostatistics Unit of University of Cambridge, part of the former Design and Analysis of Randomised Trials Group, recently renamed to Efficient Study Design.

I did my PhD in Statistical Sciences (curriculum Methodological Statistics) at Sapienza University of Rome (Italy). During my PhD, I spent my time between my home university and two hosting universities, which I joined as a Visiting PhD Scholar. First, the National University of Singapore, specifically at the Duke-NUS Medical School, where I worked under the supervision of Bibhas Chakraborty on Reinforcement Learning (RL) and MABs algorithms applied in Modern Biostatistics. Second, the Computer Science Department of University of Toronto (Canada), under the supervision of Joseph Jay Williams, where I am also part of the Intelligent Adaptive Interventions (IAI) Lab, and a collaborator of Multi-armed bandits (MABs) based adaptive experiments, such as the Berkeley DIAMANTE study and the GoodLife Fitness project.

In a previous life, I worked as a biostatistician at the GIMEMA Foundation (Rome), and I have been actively involved in cancer and health-related research projects, included the European Organisation for Research and Treatment of Cancer projects.

I collaborate with various academic and nonacademic research institutions worldwide, included those visited during my PhD. Active collaborations include University of Cambridge, National University of Singapore and University of Toronto, where I am also part of the IAI Lab.

In Italy, I am leading some work in collaboration with ISTAT (on accuracy estimation of multisource official statistics), NADO Italia (on doping detection), and FAO (on quantifying the impact of disasters on economic loss).

I am in the editorial board of YoungStatS, the blog of Young Statisticians Europe (YSE), serve as as associate editor of Trials.

I love stats and I embrace diverse, and perhaps too many to mention, therein areas. My main attention so far has been devoted to sequential decision-making problems, intersecting areas of statistical inference, Bayesian statistics, reinforcement learning (RL) & multi-armed bandits (MABs), and adaptive design of experiments, main focus of my PhD thesis. More recently, I became interested in copula models for representing data dependencies, and how these can be used for improving statistical problems such as estimating highest density regions or anomaly detection. Uncertainty quantification, especially conformal prediction, is a new door I am opening, with excitement, and shall constitute one of my future research lines.

My research is inspired by the numerous challenges arising in real-life applications and directed towards providing concrete benefits in these areas. 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.