Professional Service

Editorial Board and Reviews

• Associate Editor, ASA Discoveries, 2026-2028.

• Associate Editor, The American Statistician, 2023-2025.

• Associate Editor, Statistical Science, 2023-2025.

• Associate Editor, Journal of the American Statistical Association (JASA) Review, 2023-2025, 2026-2028.

• Associate Editor for the Engineering Sciences Section, NEJSDS: The New England Journal of Statistics in Data Science, 2021-2023.

• NSF Reviewer, 2024, 2023, 2021, 2020, 2019.

• NASA Reviewer, 2024, 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, Scientific Data - Nature, The American Statistician, Journal of Geophysical Research - Machine Learning, Journal of Geophysical Research - Space Physics.

• 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)

• Chair-Elect, ASA Astrostatistics Interest Group (AIG), 2025.

• Co-organizer, Online Monte Carlo Seminar, 2024-2025.

• Gertrude M. Cox Scholarship Committee Chair, 2025.

• NJIT ISWS External Advisory Board and NASA MIRO Center External Advisory Committee, 2024.

• CWS (Caucus for Women in Statistics and Data Science) Flash Mentoring, Mentor, 2024.

• Scientific Organizing Committee, ML-Helio, 2022-2025.

• 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, 2024.

• 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, 2024, 2025.

• Undergraduate curriculum committee, 2021, 2023, 2024, 2025.

• Ph.D. admissions committee, 2021, 2022, 2024, 2025.

• Department culture committee, 2025.

Organizing Activities

• Co-Organizer for invited paper session “Deep Space: Deep Learning in Astronomy”, the Joint Statistical Meeting (JSM), Boston, MA, August 1-6, 2026.

• Organizing committee for “SABID 2025: Workshop on Solar & Stellar Astronomy Big Data” at ICDM (The 25th IEEE International Conference on Data Mining) 2025, November 12, 2025.

• Organizing committee for “Machine Learning in Heliophysics”, Madrid, Spain, September 22-26, 2025.

• Organizer of lightning talk session “Data-driven Approaches as a Revolution for Space Weather Forecasting”, 2024 ADSA Annual Meeting, Ann Arbor, Michigan, October 29-31, 2024.

• Chair of session “The Promises and Perils of Long Time: Recent advances in astronomical time series”, the Joint Statistical Meetings, Portland, OR, August 3-9, 2024

• 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

• Sahana Rayan, Ph.D. student in Statistics. Chair: Ambuj Tewari (Statistics).

• Yilei Zhang, Ph.D. candidate in Statistics. Chair: Long Nguyen (Statistics).

• Kevin Liang, Ph.D. candidate in Statistics. Chair: Jonathan Terhorst (Statistics).

• Katherine Ahn, Ph.D. candidate in Statistics. Chair: Kerby Shedden (Statistics).

• Yash Patel, Ph.D. candidate in Statistics. Chair: Ambuj Tewari (Statistics).

• Yiling Huang, Ph.D. candidate in Statistics. Chair: Snigdha Panigrahi (Statistics).

• Vincenzo Loffredo, Ph.D. in Statistics, 2024. Dissertation Title: Bayesian Perspectives on LongROAD Study: Analyzing Driving Decline and Latent Traits. Chair: Long Nguyen (Statistics).

• Derek Hanson, Ph.D. in Statistics, 2023. Dissertation Title: Mechanistic and Data-Adaptive Bayesian Methods for Scientific Inference. Chair: Jefferey Regier (Statistics).

• Zebang Li, Ph.D. in Statistics, Rutgers, The State University of New Jersey, 2023. Dissertation Title: Matrix and Tensor Autoregressive Models. Chair: Han Xiao (Rutgers Statistics).

• Rayleigh Lei, Ph.D. in Statistics, 2022. Dissertation title: Modeling Simplex Data. Chair: Long Nguyen (Statistics).

• Caleb Ki, Ph.D. in Statistics, 2022. Dissertation title: Statistical Methods in Population Genetics and Viral Phylodynamics. Chair: Jonathan Terhorst and Edward Ionides (Statistics).

• April Cho, Ph.D. in Statistics, 2020. Dissertation title: Statistical Analysis of Structured Latent Attribute Models. Chair: Gongjun Xu (Statistics).

• Yumu Liu, Ph.D. in Statistics, 2020. Dissertation title: Aspects in Improving Statistical Procedures for Networks with Node Covariates. Chair: Ji Zhu (Statistics).

• Yuan Sun, Ph.D. in Statistics, 2020. Dissertation title: On Rank-Based Inference for Quantile Regression. Chair: Xuming He (Statistics).

• Julie Deeke, Ph.D. in Statistics, 2019. Dissertation title: Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data. Chair: Johann Gagnon Bartsch (Statistics).

Biostatistics

• Yuan Zhong, Ph.D. in Biostatistics, 2025. Dissertation Title: Integrating Deep Learning and Bayesian Inference in Neuroimaging Analysis. Chair: Jian Kang (Biostatistics).

• Zikai Lin, Ph.D. in Biostatistics, 2024. Dissertation Title: Statistical Adjustment of Population Heterogeneity and Generalizability in Neuroscience. Chair: Jian Kang (Biostatistics) and Yajuan Si (ISR).

• Yijun Li, Ph.D. in Biostatistics, 2024. Dissertation Title: Computational Analysis and Statistical Methods in Spatial Transcriptomics and Neuroimaging. Chair: Jian Kang (Biostatistics) and Lana Garmire (DCMB).

• Yuqi Zhai, Ph.D. in Biostatistics, 2023. Dissertation Title: Improving estimation efficiency by integrating external summary information from heterogeneous populations. Chair: Peisong Han (Biostatistics).

• Elizabeth Chase, Ph.D. in Biostatistics, 2023. Dissertation Title: Two Biostatistical Problems. Chair: Jeremy Taylor (Biostatistics).

• 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. Chair: Jun Li (Human Genetics).

• Allison Furgal, Ph.D. in Biostatistics, 2021. Dissertation title: Bayesian Models for Joint Longitudinal and Multi-State Survival Data. Chair: Ananda Sen and Jeremy Taylor (Biostatistics).

• Tian Gu, Ph.D. in Biostatistics, 2021. Dissertation title: Statistical Methods to Incorporate External Summary-level Information into a Current Study. Chair: Bhramar Mukerjee and Jeremy Taylor (Biostatistics).

Physics and Enginnering Fields

• Vivian Cribb, Ph.D. candidate in Climate and Space Sciences and Engineering. Chair: Tuija Pulkkinen (CLaSP).

• Hongfan Chen, Ph.D. candidate in Mechanical Engineering. Chair: Xun Huan (ME).

• Aniket Jivani, Ph.D. candidate in Mechanical Engineering. Chair: Xun Huan (ME).

• Jiayuan Dong, Ph.D. candidate in Mechanical Engineering. Chair: Xun Huan (ME).

• Weihao Liu, Ph.D. student in Climate and Space Sciences and Engineering. Chair: Lulu Zhao and Tamas Gombosi (CLaSP).

• Jieru Zhang, Ph.D. student in Material Science & Engineering (MSE). Chair: Liang Qi (MSE).

• Eddie Aljamal, Ph.D. candidate in Astronomy. Chair: August Evrard (Astronomy).

• Jiacheng Liu, Ph.D. in Industrial and Operations Engineering (IOE), dual degree in statistics, 2025. Dissertation Title: Bayesian Optimization for Personalized Vehicle Safety Design. Chair: Judy Jin (IOE).

• Nicholas Kyriacou, Ph.D. in Physics, 2025. Dissertation Title: A Higgs Physics Trilogy: Studying the Production of Multiple Higgs Bosons. Chair: Jianmin Qian (Physics).

• Zeyu Sun, Ph.D. in Electrical Engineering and Computer Sciences, 2024. Dissertation Title: Towards Calibrated, Sharp, and Interpretable Probabilistic Prediction. Chair: Alfred Hero (EECS).

• Zhichen Wang, Ph.D. in Physics, 2024. Dissertation Title: Observation of W ±W ∓Z, W ±ZZ and ZZZ Production and Search for Quantum Entanglement in H → ZZ? Decays with √s = 13 TeV pp Collisions with the ATLAS Detector. Chair: Junjie Zhu (Physics).

• Matthew-Remy Aguirre, Ph.D. in Industrial and Operations Engineering, 2023. Dissertation Title: Data Analytics of Human Behaviors with Applications. Chair: Judy Jin (IOE).

• Spiridon Kasapis, Ph.D. in Naval Architecture and Marine Engineering, 2023. Dissertation title: Processing Image Data from Unstructured Environments. Chair: Nickolas Vlahopoulos (NAME).

• 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. Chair: Junjie Zhu (Physics).

• Brian Swiger, Ph.D. in Climate and Space Sciences, 2022. Dissertation title: Patterns of Electron Flux in the Near-Earth Plasma Sheet: Statistical Learning. Chair: Michael W. Liemohn (CLaSP).

• Jiaen Ren, Ph.D. in Climate and Space Sciences, 2021. Dissertation title: Characteristics and Generation Mechanism of Polar Cap Patch: Multi-instrument Observations. Chair: Shasha Zou (CLaSP).

• Abigail Azari, Ph.D. in Climate and Space Sciences, 2020. Dissertation title: A Data-Driven Understanding of Plasma Transport in Saturn’s Magnetic Environment. hair: Michael Liemohn (CLaSP).

• Ryan Dewey, Ph.D. in Climate and Space Sciences, 2020. Dissertation title: Dipolarizations in Mercurys Magnetotail: Characteristics and Consequences in a Miniature Magnetosphere. Chair: James A. Slavin and Jim M. Raines (CLaSP).

• 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. Chair: Bing Zhou (Physics).

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. Chair: Sarah Burgard (Sociology).

• Shannon Ang, Ph.D. in Sociology, dual degree in Statistics, 2020. Dissertation title: Three Papers on Social Participation over the Life Course. Chair: Sarah Burgard (Sociology).

• Jie He, Ph.D. student in Environmental Health Sciences (EHS). Chair: Richard Neitzel (EHS).

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. Chair: Anna Schwendeman (Pharmarcy).

• Hui Yu, Ph.D. student in the College of Pharmacy. Chair: Haojie Zhu (Pharmacy).

Others

• CWS (Caucus for Women in Statistics and Data Science) Flash Mentoring, Mentor, 2024.

• 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.