Runshi Tang's Home Page

About Me

I will be a Founder's Postdoctoral Research Scientist and Adjunct Assistant Professor of Statistics at Columbia University, mentored by Prof. Genevera Allen. I received my Ph.D. in Statistics from the University of Wisconsin–Madison in 2026, where I was advised by Prof. Anru Zhang and Prof. Richard Chappell.

My research interests include high-dimensional statistics, spiked covariance models, tensor decomposition, matrix analysis, optimization, and applications of statistical theory to social science and clinical science.

CV

Publications

† Equal contribution

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang, Ming Yuan, Anru R. Zhang Journal of the Royal Statistical Society, Series B, 87, 232–255, 2025
Tensor Decomposition with Unaligned Observations Runshi Tang, Tamara G. Kolda, Anru R. Zhang SIAM Journal on Matrix Analysis and Applications, 47(1), 107–131, 2026
Longitudinal Changes in Neurocognitive Performance Related to Drug Use Intensity in a Sample of Persons with and without HIV Who Use Illicit Stimulants Sheri L. Towe, Runshi Tang, Matthew J. Gibson, Anru R. Zhang, Christina S. Meade Drug and Alcohol Dependence, 251, 110923, 2023
Cocaine Use Prediction with Tensor-based Machine Learning on Multimodal MRI Connectome Data Anru R. Zhang^†, Ryan P. Bell^†, Chen An^†, Runshi Tang^†, Shana A. Hall, Cliburn Chan, Kareem Al-Khalil, Christina S. Meade Neural Computation, 36, 107–127, 2023
Unique Age and Sex Dependent Serum Metabolite Signature in Teens With Obesity Jessica McCann, Nathan A. Bihlmeyer, Chengxin Yang, Tracy Truong, Runshi Tang, et al. Obesity Week 2024
Unemployment Insurance Generosity and Child Protective Services Involvement Anna Ko, Lawrence M. Berger, Derek S. Brown, Jessica Pac, Runshi Tang Child Abuse & Neglect, 167, 107583, 2025
Branched Chain Amino Acid Metabolism and Microbiome in Adolescents with Obesity During Weight Loss Therapy Jessica R. McCann, Chengxin Yang, Nathan A. Bihlmeyer, Runshi Tang, et al. Journal of Clinical Investigation, in press
Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence Runshi Tang, Julien Chhor, Olga Klopp, Anru R. Zhang Submitted
A Functional Tensor Model for Dynamic Multilayer Networks with Common Invariant Subspaces and RKHS Estimation Runshi Tang^†, Runbing Zheng^†, Anru R. Zhang, Carey E. Priebe Submitted
Optimal Estimation of Discrete Multiview Distributions under Heteroskedastic Multinomial Sampling Runshi Tang, Julien Chhor, Olga Klopp, Alexandre Tsybakov, Anru R. Zhang Submitted
Statistical and Computational Limits for Cumulant Tensor Inference: A Regime in Which Efficient Detection Is Harder Than Efficient Estimation Runshi Tang, Yuefeng Han, Anru R. Zhang Submitted
A Framework for Computational Lower Bounds in Nontrivial Norm Approximation Runshi Tang, Yuefeng Han, Anru R. Zhang Submitted

Awards

Honorable Mention, 2024 Student Paper Competition, ASA Statistical Learning and Data Science Section, “Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model.”
ASA Student and Early Career Travel Fund
SRGC Conference Presentation Award, University of Wisconsin–Madison
Travel Scholarship, Sandra Rosenbaum School of Social Work and Institute for Research on Poverty, University of Wisconsin–Madison
IMS Hannan Graduate Student Travel Award
NSF Early-Career Travel Funding for the ILAS Conference