Professional Service
Editorial Board and Reviews
Associate Editor, The American Statistician, 2023-2026.
Associate Editor, Statistical Science, 2023-2025.
Associate Editor, Journal of the American Statistical Association (JASA) Review, 2023-2025.
Associate Editor for the Engineering Sciences Section, NEJSDS: The New England Journal of Statistics in Data Science, 2021-now.
NSF Reviewer, 2023, 2021, 2020, 2019.
NASA Reviewer, 2022.
Guest Editor, Frontiers in Astronomy And Space Sciences, 2022-2023.
Reviewer for journals: Annals of Applied Statistics, Journal of the American Statistical Association (Theory & Methods, Case Studies), Journal of Statistical Theory and Practice, PLOS ONE, Statistical Analysis and Data Mining, Frontiers Astronomy, Journal of Machine Learning Research, Earth, Planets and Space, Astronomy and Computing, Space Weather, Frontiers in Genetics, Front. Astron. Space Sci. - Astrostatistics.
Reviewer of internal selection of Ph.D. student fellowship at the University of Michigan, September 2020.
Committee (External to Department of Statistics at the University of Michigan)
Scientific Organizing Committee, ML-Helio, 2022-2024.
Gertrude M. Cox Scholarship Committee, 2024.
Committee member for the Committee on Women in Statistics (CoWiS) of the American Statistical Association (ASA), 2022-2024.
Local organizing committee, ICSA 2023 Applied Statistics Symposium, Ann Arbor, MI, June 11 - 14, 2023.
Program Chair-Elect 2021 and program chair 2022, the ASA Astrostatistics Interest Group (AIG).
Committee of student paper competition at Statistical Learning and Data Science/Nonparametric Statistics (SLDS) 2020, March 2020.
Seminar Committee of MIDAS, 2020 Winter.
Program Committee of The 2019 MIDAS Symposium, “Embracing the Challenge: Data Science for the Next Ten Years”, University of Michigan, November 13-15, 2019.
Secretary, American Statistical Association (ASA) Astrostatistics Interest Group, January 2018 - January 2020.
Committee, 2021-now (Department of Statistics at the University of Michigan)
Faculty search committee, 2022.
DEI committee, 2021, 2022, 2023.
Applied Statistics Masters’ admissions committee, 2023.
Undergraduate advising, 2021, 2022, 2023.
Masters’ Advising, 2021, 2022, 2023.
Seminar committee, 2022 (chair), 2023.
Graduate curriculum committee, 2022.
Undergraduate curriculum committee, 2021, 2023.
Ph.D. admissions committee, 2021, 2022.
Organizing Activities
Organizer and co-chair of session “Panel on Careers in Data Science” [slides], ICSA Applied Statistics Symposium, Ann Arbor, Michigan, June 12, 2023.
Faculty Panel, MIDAS AI in Science Symposium, April 3, 2023.
Organizer and chair of session “Matrix/Tensor Valued Data Mining Methods and Applications”, INFORMS 2022 Annual Meeting, Indianapolis, Indiana, October 16-19, 2022.
Instructor and moderator for the “MIDAS Workshop on Data Science for Environmental Scientists”, University of Michigan, March, May & November 2022.
Organizer and chair of topic contributed session “Open Problems in Astrostatistics”, the Joint Statistical Meeting, August 6-11, 2022.
Organizer and chair of two companion topic-contributed sessions, “Statistical and Machine Learning Efforts on Solar Flare Predictions (I & II)”, the Joint Statistical Meeting, August 2021.
Moderator, Statistical Challenges in Modern Astronomy (SCMA) VII Special Sessions on “Bayesian modeling and computation”, June 9-10, 2021.
Organizer and Chair of Special Invited Session “Advances in hidden Markov models: Theory and applications”, National Chung Hsing University (NCHU), Taichung, Taiwan, June 26, 2019.
Organizer, Fifth Bayesian, Fiducial, and Frequentist (BFF5) Conference: Foundations of Data Science, University of Michigan, Ann Arbor, MI, May 2018.
Organizer, Bayes Reading Group, University of Michigan, January - April 2018.
Dissertation Committee
Statistics
Yilei Zhang, Ph.D. student in Statistics. Role: Member.
Vincenzo Loffredo, Ph.D. candidate in Statistics. Role: Member.
Yash Patel, Ph.D. candidate in Statistics. Role: Member.
Yiling Huang, Ph.D. candidate in Statistics. Role: Member.
Derek Hanson, Ph.D. in Statistics, 2023. Dissertation Title: Mechanistic and Data-Adaptive Bayesian Methods for Scientific Inference. Role: Member.
Zebang Li, Ph.D. in Statistics, Rutgers, The State University of New Jersey, 2023. Dissertation Title: Matrix and Tensor Autoregressive Models. Role: Member.
Rayleigh Lei, Ph.D. in Statistics, 2022. Dissertation title: Modeling Simplex Data. Role: Member.
Caleb Ki, Ph.D. in Statistics, 2022. Dissertation title: Statistical Methods in Population Genetics and Viral Phylodynamics. Role: Member.
April Cho, Ph.D. in Statistics, 2020. Dissertation title: Statistical Analysis of Structured Latent Attribute Models. Role: Member.
Yumu Liu, Ph.D. in Statistics, 2020. Dissertation title: Aspects in Improving Statistical Procedures for Networks with Node Covariates. Role: Member.
Yuan Sun, Ph.D. in Statistics, 2020. Dissertation title: On Rank-Based Inference for Quantile Regression. Role: Member.
Julie Deeke, Ph.D. in Statistics, 2019. Dissertation title: Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data. Role: Member.
Biostatistics
Zikai Lin, Ph.D. candidate in Biostatistics. Role: Cognate.
Yijun Li, Ph.D. candidate in Biostatistics. Role: Cognate.
Yuqi Zhai, Ph.D. in Biostatistics, 2023. Dissertation Title: Improving estimation efficiency by integrating external summary information from heterogeneous populations. Role: Cognate.
Elizabeth Chase, Ph.D. in Biostatistics, 2023. Dissertation Title: Two Biostatistical Problems. Role: Cognate.
Xianing Zheng, Ph.D. in Human Genetics, dual degree in Statistics, 2022. Dissertation title: Single Cell Transcriptomic Analytics: Methods Development, Benchmarking, and Applications in Biological Research. Role: Cognate.
Allison Furgal, Ph.D. in Biostatistics, 2021. Dissertation title: Bayesian Models for Joint Longitudinal and Multi-State Survival Data. Role: Cognate.
Tian Gu, Ph.D. in Biostatistics, 2021. Dissertation title: Statistical Methods to Incorporate External Summary-level Information into a Current Study. Role: Cognate.
Physics and Enginnering Fields
Weihao Liu, Ph.D. student in Climate and Space Sciences and Engineering. Role: Cognate.
Matthew-Remy Aguirre, Ph.D. in Industrial and Operations Engineering. Dissertation Title: Data Analytics of Human Behaviors with Applications. Role: Cognate.
Zeyu Sun, a Ph.D. candidate in Electrical Engineering and Computer Sciences.
Spiridon Kasapis, Ph.D. in Naval Architecture and Marine Engineering, 2023. Dissertation title: Processing Image Data from Unstructured Environments. Role: Cognate.
Prachi Atmassidha, Ph.D. in Physics, 2023. Dissertation Title: First measurements of the Radiation Amplitude Zero effect and of the diboson longitudinal-longitudinal interactions in High pT region using W ±Z production with the ATLAS detector. Role: Cognate.
Brian Swiger, Ph.D. in Climate and Space Sciences, 2022. Dissertation title: Patterns of Electron Flux in the Near-Earth Plasma Sheet: Statistical Learning. Role: Cognate.
Jiaen Ren, Ph.D. in Climate and Space Sciences, 2021. Dissertation title: Characteristics and Generation Mechanism of Polar Cap Patch: Multi-instrument Observations. Role: Cognate.
Abigail Azari, Ph.D. in Climate and Space Sciences, 2020. Dissertation title: A Data-Driven Understanding of Plasma Transport in Saturn’s Magnetic Environment. Role: Cognate.
Ryan Dewey, Ph.D. in Climate and Space Sciences, 2020. Dissertation title: Dipolarizations in Mercurys Magnetotail: Characteristics and Consequences in a Miniature Magnetosphere. Role: Cognate.
Hao Liu, Ph.D. in Physics, 2018. Dissertation title: Searches for resonant and non-resonant Higgs boson pair-production in the bbτ +τ − decay channel with 36.1 fb−1 pp collision data at √s = 13 TeV with the ATLAS detector. Role: Cognate.
Social Science Fields
Yang Zhang, Ph.D. in Sociology, dual degree in Statistics, 2021. Dissertation title: Three Essays on the Determinants and Consequences of Union Experiences. Role: Cognate.
Shannon Ang, Ph.D. in Sociology, dual degree in Statistics, 2020. Dissertation title: Three Papers on Social Participation over the Life Course. Role: Cognate.
Others
- Dan Li, Ph.D. in Pharmaceutical Sciences, dual degree in Statistics, 2018. Dissertation title: Optimization and Application of Synthetic High-Density Lipoprotein (sHDL) System in Atherosclerosis and Glioma Therapy. Role: Cognate.
Others
Mentor for WISTEM (Women in Science, Technology, Engineering, and Mathematics), Harvard University, Cambridge, MA, 2016 - 2017.
Ask-a-statistician session, 224th Meeting of the American Astronomical Society, Boston, MA, June 2014.