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Mengchu Li

I am a PhD student in the Warwick Maths and Stats CDT programme. I am interested in learning and using techniques that arise from high-dimensional statistics, algorithmic robust statistics, and minimax theory. My current work is on the interplay between robustness and local differential privacy.

I obtained a BSc in Mathematics and Economics at Durham University in 2018 and an MASt in Mathematical Statistics at University of Cambridge in 2019. I was a member of Hatfield College and St Edmund's College respectively.

I love doing research in an interdisciplinary way. In particular, I have collaborated with economists, education practitioners, and biologists during research internships before. If you are interested in collaborating on some interdisciplinary project, please feel free to get in touch.


2021/2022 - Term 1: ST220 Introduction to Mathematical Statistics

2020/2021 - Term 1: ST220 Introduction to Mathematical Statistics

2020/2021 - Term 2&3: ST104 Statistical Laboratory

Publication and preprints

Li, M. and Yu,Y. Adversarially robust change point detection (2021). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021).

Singh, A., Uwimpuhwe, G., Li, M., Einbeck, J., Higgins, S. and Kasim, A. Multisite educational trials: estimating the effect size and its confidence intervals (2021). International Journal of Research & Method in Education, pp.1-21.


2020/2021 Secretary of the Student-Staff Liaison Committee (SSLC)

2019/2020 First-year PhD student representative on the Student-Staff Liaison Committee (SSLC)


16 Nov 2021: Adversarial change point detection, YRM Seminar.

28 Jan 2021: Minimax rates in change point detection problems, SPAAM Seminar.



MSB 4.14