Reviewer for Journals/Conferences
(2017-present) Reviewer for Proceedings of the National Academy of Sciences, The Annals of Statistics, Journal of the American Statistical Association – Theory and Methods, Journal of the Royal Statistical Society Series B, Biometrika, Statistical Science, IEEE Transactions on Information Theory, Operations Research, Statistica Sinica, Journal of Machine Learning Research, Conference on Learning Theory (COLT), Conference on Neural Information Processing Systems (NeurIPS), Bernoulli, Information and Inference, Electronic Journal of Statistics, Journal of Statistical Planning and Inference, IEEE Journal on Selected Areas in Information Theory, SIAM Journal on Mathematics of Data Science
Reviewer for Grants
(2022,2024) Reviewer for National Science Foundation
(2021) Reviewer for William F. Milton Fund Competition, Harvard University
Other Service Activities and Outreach
(Aug ’22-present) President, Institute of Mathematical Statistics (IMS) New Researchers Group
(2023-2024) Tenure-Track Committee, Harvard Statistics
(2023) Program Committee of the 2023 IMS International Conference on Statistics and Data Science
(2023) Co-director for Workshop and Huddle on “Learning and Inference from Structured Data: Universality, Correlations and Beyond”, The Abdus Salam International Centre for Theoretical Physics (ICTP), Italy
(Aug ’22-present) Ex-officio, IMS Outreach Committee
(Aug ’22-present) Ex-officio, IMS Council
(2022-2023) Standing Committee on the S.M. Degree in Data Science, Harvard University
(2020-2021, 2022-2023, 2023-2024) Academic Advisor for Tianle Liu, Nathan Cheng, Anvit Garg for 1st year
(2020-2022, 2022-2025) Ph.D. Thesis Committee Member for Cathy Shyr, Zebin Wang
(2022) Session Chair at workshop on “Deep Learning Theory Workshop and Summer School”, Simons Institute for the Theory of Computing, UC Berkeley
(2022) Co-Organizer of Workshop on “Exploring and Exploiting High-dimensional Phenomena in Statistical Learning and Inference”, hosted by Radcliffe Institute for Advanced Study, Harvard University
(2021-2022) Undergraduate Thesis Reader for Yash Nair, Conlan Olson, Eddie Tu
(2022) Oral Qualifying Committee member for Kuanhao Jiang, Biyonka Liang, Tianle Liu, Yanke Song, Longlin Wang
(2022) Dempster Prize Committee, Harvard Statistics
(2021) Session Chair at workshop on “Algorithmic Advances for Statistical Inference with Combinatorial Structure”, Simons Institute for the Theory of Computing, UC Berkeley
(2021) Organizer of Institute of Mathematical Statistics Invited Session on “Frontiers of High-Dimensional Statistics” at Joint Statistical Meetings
(2021) Invited Speaker at Math Invitational for Girls 2021 Online Competition
(2021) Program Committee Member, Conference on Learning Theory
(Fall, 2021) Colloquium Co-Chair, Harvard Statistics
(Spring 2021, Fall 2022) Colloquium Chair, Harvard Statistics
(2020-2022) President Elect, Institute of Mathematical Statistics New Researchers Group
(Spring 2020-present) Co-organizer of a Special Seminar Series on High-Dimensional Phenomena at Harvard (see the Seminars tab for further details); Co-organized with Yue Lu (Harvard SEAS) and Subhabrata Sen (Harvard Stats) from Spring ’20-Spring ’21; co-organized with Yue Lu (Harvard SEAS), Subhabrata Sen (Harvard Stats) and Horng-Tzer Yau (Harvard Math) from Fall ’21-present
(2020) Mentor, “Rising Stars” Workshop on AI for Social Impact, Center for Research on Computation and Society, Harvard SEAS
(2019) Panelist, Professional Development Panel on Interviewing, Center for Research on Computation and Society, Harvard SEAS