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.

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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 its relationship with Conformal Prediction: here.

Video of the talk: here.

An Interview with Eyke Hüllermeier: here.