I am a PhD candidate in the Operations Research & Financial Engineering (ORFE) department at Princeton University, where my research interests include mathematical statistics and probability theory. Currently I am working with my advisor Matias Cattaneo on nonparametric network estimation, martingale coupling theory and random forest procedures.
I received an MA degree in ORFE from Princeton in 2021. Before moving to New Jersey, I obtained my MMath in Mathematics & Statistics from the Department of Statistics at the University of Oxford in 2019. I was supervised there by Mihai Cucuringu, and wrote my master’s dissertation on Motif-Based Spectral Clustering of Weighted Directed Networks. I am an alumnus of St John’s College, Oxford.
In my spare time I enjoy choral singing, classical piano, chess and programming, as well as hiking, skiing and playing squash.
I have served as an Assistant in Instruction for these classes at Princeton University:
- ORF 524: Statistical Theory and Methods, taught by Matias Cattaneo, Fall 2022
- ORF 526: Probability Theory, taught by Mykhaylo Shkolnikov, Fall 2022
- ORF 524: Statistical Theory and Methods, taught by Matias Cattaneo, Fall 2021
- ORF 245: Fundamentals of Statistics, taught by Matias Cattaneo, Spring 2021
- ORF 363: Computing and Optimization, taught by Amir Ali Ahmadi, Fall 2020
Francis Robbins Upton Fellowship in Engineering
Princeton University, September 2019
Gibbs Statistics Prize
University of Oxford, July 2019
Royal Statistical Society Prize
Royal Statistical Society & University of Oxford, July 2019
St John's College, University of Oxford, July 2016