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.
Teaching
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.
Roles
2020/2021 Secretary of the Student-Staff Liaison Committee (SSLC)
2019/2020 First-year PhD student representative on the Student-Staff Liaison Committee (SSLC)
Talks
16 Nov 2021: Adversarial change point detection, YRM Seminar.
28 Jan 2021: Minimax rates in change point detection problems, SPAAM Seminar.