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About
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 am currently on the academic job market, seeking positions starting in the latter half of 2024.
Biography
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.
Contact
Contact me by email at wgu2@princeton.edu with any questions! Other contact details are available on my contact page, and you can download my CV here.
Teaching
I have served as an Assistant in Instruction for these classes at Princeton University:
- ORF 498: Senior Independent Research Foundations, with Daniel Rigobon, Fall 2023
- SML 201: Introduction to Data Science, with Daisy Yan Huang, Fall 2023
- ORF 363: Computing and Optimization, with Ioannis Akrotirianakis, Spring 2023
- ORF 524: Statistical Theory and Methods, with Matias Cattaneo, Fall 2022
- ORF 526: Probability Theory, with Mykhaylo Shkolnikov, Fall 2022
- ORF 524: Statistical Theory and Methods, with Matias Cattaneo, Fall 2021
- ORF 245: Fundamentals of Statistics, with Matias Cattaneo, Spring 2021
- ORF 363: Computing and Optimization, with Amir Ali Ahmadi, Fall 2020
Awards
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School of Engineering and Applied Science Award for Excellence
Princeton University, September 2022 -
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 -
Academic Exhibition
St John's College, University of Oxford, July 2016
Peer Review
- Econometric Theory
- Journal of the American Statistical Association
- Journal of Business and Economic Statistics
- Journal of Causal Inference
- Operations Research
Conferences
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Statistical Foundations of Data Science and their Applications
Princeton University, May 2023
Local organizing committee member