LECTURER (ASSISTANT PROFESSOR) AT MANCHESTER CS, MCAIF
ABOUT ME
I’m an Applied Probabilist, and my research focuses on Imprecise Probability theory and its applications to Machine Learning and AI, broadly defined. I serve as an At-Large Member of the Executive Committee of SIPTA, and as an Action Editor for TMLR and ToPML. I am an elected Member of the LMS, INI, IMA, and ELLIS, and a Fellow of the CPS.
EDUCATION
RESEARCH INTERESTS
Mathematical Statistics
Geometric properties of statistical models, Philosophical and foundational issues in statistics
2018 - 2022
Duke University
PhD in Statistics
Applied Mathematics
Choquet theory, Non-Diophantine arithmetics, Turnpike theory, Probabilistic ML
Probability
Imprecise probability, Ergodic theory, Philosophical and foundational issues in probability
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.
CURIOSITY
My academic great-great-great grandfather is Enrico Fermi (via Mathematics Genealogy Project). My Erdős number is 3. I became Lecturer at 29.