LECTURER (ASSISTANT PROFESSOR) AT MANCHESTER CS, MCAIF
ABOUT ME
I’m an Applied Probabilist, and my research focuses on the Theory and Methodology of Imprecise Probabilistic Machine Learning, broadly defined. I serve as an At-Large Member of the Executive Committee of SIPTA, and as an Action Editor for TMLR. I am an elected member of the LMS, INI, and ELLIS.
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.