LECTURER (ASSISTANT PROFESSOR) AT MANCHESTER CS, MCAIF
ABOUT ME
I’m interested in the foundations of probability, mathematical statistics, and uncertainty quantification in ML. For my Ph.D. thesis, I worked on Choquet theory and Choquet capacities with my supervisor Sayan Mukherjee. I currently research on the theory and methodology of imprecise probabilistic ML. I am serving as an At-Large Member of the Executive Committee of SIPTA, and I am an ELLIS member.
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.