I obtained a PhD in statistics from Imperial College London in 2021 under the supervision of Prof. Alastair Young. Currently, I am a Chapman Fellow in Mathematics at Imperial, where I returned after a postdoctoral stay at the Institute of Mathematical Sciences (ICMAT-CSIC).

Research interests

  • Selective inference: Statistical inference for data-dependent parameters of interest. I am interested in broadening the scope of application of current approaches via analytic characterisation of complex selection rules and derivation of robust computational techniques. I am also intrigued by the philosophical implications of the different approaches (conditional vs. unconditional paradigms, selection in Bayesian models, fixed vs. random designs).

  • Adversarial risk analysis: This is a branch of Bayesian statistics concerning principled decision making under uncertainty and competition. I am interested in devising robust decision policies in complex environments involving a large number of agents. I have contributed to the development of decision-making policies in cybersecurity, reliability, and retail pricing.