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About

I am a postdoctoral researcher in the Statistical Laboratory at the Department of Pure Mathematics and Mathematical Statistics, University of Cambridge. I am hosted by Richard Samworth, and my research interests encompass various topics in statistical theory and methodology, including nonparametric procedures, kernel techniques, random forests, and coupling theory. I also offer regular consultations at the Statistics Clinic.

Biography

I received my PhD in Operations Research & Financial Engineering (ORFE) from Princeton University in 2024, where I wrote my dissertation under the supervision of Matias Cattaneo. Previously I received an MA degree in ORFE from Princeton in 2021 and an MMath in Mathematics & Statistics from the University of Oxford in 2019. I am an alumnus of St John’s College, Oxford.

In my spare time I enjoy programming in Julia and Rust, choral singing with the Choir of Christ’s College, Cambridge, and playing classical piano.

Contact

Contact me by email at wgu21@cam.ac.uk with any questions! Other contact details are available on my contact page, and you can download my CV here.

Teaching

I served as an Assistant in Instruction for the following classes at Princeton University:

Awards

  • 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
  • James Fund for Mathematics Research Grant
    St John's College, University of Oxford, June 2017
  • Academic Exhibition
    St John's College, University of Oxford, July 2016

Peer Review

  • Econometric Theory
  • Information Theory, Probability and Statistical Learning
  • Journal of the American Statistical Association
  • Journal of Business and Economic Statistics
  • Journal of Causal Inference
  • Journal of Econometrics
  • Operations Research

Conferences

  • Statistical Foundations of Data Science and their Applications
    Princeton University, May 2023
    Local organizing committee member