I am an Associate Professor and Director of Undergraduate Studies in the School of Statistics at the University of Minnesota. I also hold a graduate faculty appointment in Data Science. My primary research interests are in multivariate analysis, numerical optimization, statistical genetics and genomics, and more broadly, statistical and machine learning. I serve as Associate Editor for Data Science in Science and Journal of Computational and Graphical Statistics.
Recent and upcoming talks
- (10/26) Department of Statistics, Texas A&M, College Station, TX
- (8/26) Joint Statistical Meeting in Boston, MA
- (5/26) STATGEN 2026 in Atlanta, GA
- (12/25) DSI Machine Learning Seminar in Minneapolis, MN
- (7/25) ASA NSF@75 Virtual Conference
older talks
- (5/25) STATGEN 2025 in Minneapolis, MN
- (11/24) KU Probability and Statistics Conference in Lawrence, KS
- (11/24) ASA SLDS Conference in Newport Beach, CA
- (8/24) Joint Statistical Meeting in Portland, OR
- (7/24) Model-based Clustering Working Group in Bertinoro, Italy
- (5/24) SIAM Conference on Applied Linear Algebra in Paris
News and updates
- (6/26) Youngwoo Kwon's paper on a unified algorithm for noncrossing multiple quantile regression in high dimensions now available online
- (6/26) Dr. Jinwen Fu successfully defended her Ph.D. thesis. Later this summer, she will start a postdoc at the University of Southern California. Congratulations Dr. Fu!
- (3/26) Luer Zhong's paper, scDEcrypter: Uncertainty-aware differential expression analysis for viral infection in scRNA-seq now available on bioRxiv
- (1/26) Universal inference for variance components accepted by Stat
- (11/25) HJ Koo's paper, A unified approach to spatial domain detection and cell-type deconvolution in spot-based spatial transcriptomics now available on arXiv
- (9/25) The why and how of convex clustering accepted by Annual Review of Statistics and its Applications
- (9/25) Universal inference for variance components now available on arXiv
- (9/25) Promoted to Associate Professor with tenure
- (8/25) Conditional probability tensor decompositions for multivariate categorical response regression accepted by JASA
- (7/25) Jinwen Fu's paper, A direct approach to tree-guided feature aggregation for high-dimensional regression now available on arXiv
- (7/25) Dr. Yiqiao Zhang successfully defended her Ph.D. thesis. In a few weeks, she will join Microsoft in Seattle. Congratulations Dr. Zhang!
- (7/25) Review paper on convex clustering now available on arXiv
older news
- (7/25) Dr. Karina Gelis-Cadena successfully defended her Ph.D. thesis. She will start as Lecturer at University of Florida in the fall. Congratulations Dr. Gelis-Cadena!
- (6/25) Yisen Jin's papers, Smooth and shape-constrained quantile distributed lag models and Kernelized discriminant analysis for joint modeling of multivariate categorical responses accepted at Biometrics and JCGS, respectively
- (3/25) Dr. Yisen Jin successfully defended his Ph.D. thesis. In a few weeks, he will join Microsoft in Seattle. Congratulations Dr. Jin!
- (1/25) Fast and reliable confidence intervals for a variance component accepted at Biometrika
- (1/25) Hyun Jung Koo received the DSI-MnDRIVE Graduate Assistantship Award Congratulations HJ!
- (11/24) Multi-response linear discriminant analysis in high dimensions accepted at Journal of Machine Learning Research
- (10/24) Hongru Zhao's paper, Subspace decompositions for association structure learning in multivariate categorical response regression now available on arXiv
- (8/24) Yisen Jin's paper, Smooth and shape-constrained quantile distributed lag models now available on arXiv
- (7/24) Heterogeneity-aware integrative regression for ancestry-specific association studies accepted at Biometrics
- (7/24) Objective and reliable methods for inference with modern omics data grant awarded by the National Science Foundation (DMS-2413294): this grant will fund our work on methods for analyzing spatially-resolved and single-cell transcriptomic data
