ASSISTANT PROFESSOR AT WARWICK CS
ABOUT ME
I’m an Applied Probabilist, and my research focuses on Imprecise Probability theory and its applications to Computer Science, Statistics, Machine Learning and AI, broadly defined. I serve as an At-Large Member of the Executive Committee of SIPTA, as an Action Editor for TMLR, ToPML, IJAR, and HDSR, and as an Area Chair for ICML and NeurIPS. I am an elected Member of the LMS, INI, IMA, and ELLIS, and a Fellow of the CPS and RSS.
EDUCATION
RESEARCH INTERESTS
Mathematical Statistics
Geometric properties of statistical models, Conformal prediction, Statistical learning theory, Bayes methods
2018 - 2022
Duke University
PhD in Statistics
Applied Mathematics
Choquet theory, Category theory, Tropical algebra, Optimal transport, PDEs
Probability
Imprecise probability, Ergodic theory, Foundational issues in probability, Probabilistic ML and AI
2015 - 2017
Bocconi University
MSc in Economic and Social Sciences
2012 - 2015
Bocconi University
BSc in Economic and Social Sciences
Imprecise Probabilistic Machine Learning (IPML)
Introductory slides to IPML, and an example of research in IPML Theory: here.
An Interview with Eyke Hüllermeier: here.
A distilled version of my work category-theoretic conformal prediction: here; slides: here.
CURIOSITY
My academic ancestors are Enrico Fermi and Bernard Bolzano (via Sayan Mukherjee), and Hermann von Helmholtz and Galileo Galilei (via Teddy Seidenfeld). My Erdős number is 3. I became an Assistant Professor at 29.