Updated in May, 2026

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About

Any statistical and computational methods operate under the constraints imposed by the data generating process. As such, I study how evolutionary processes shape statistical inference.

I’m currently working on the following topics:

• Evolutionary basis of statistical genetics
• Random dynamical systems on manifolds

Contact: hblee@umich.edu

Education

University of Michigan, Ann Arbor

• Doctor of Philosophy, Department of Statistics (2024.9 -)

Seoul National University

• Bachelor of Mathematics, Department of Mathematical Sciences (2017.3 - 2023.8)
• Doctor of Medicine, Department of Medicine (2016.3 - 2023.8)

Professional service

Peer review

International Journal of Epidemiology, Nature Communications, Genetics (GSA), HGG Advances, BMC Medical Research Methodology, NAR Genomics and Bioinformatics, Bioinformatics Advances

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Publications

*: Equal contribution

• Preprints

• Journals

  • Hanbin Lee, and Jonathan Terhorst Parameterizing the genetic architecture under stabilizing selection. Genetics, 2026
  • Hanbin Lee*, Nathaniel S. Pope*, Jerome Kelleher, Gregor Gorjanc, and Peter L. Ralph Genetic prediction with ARG-powered linear algebra. Genetics, 2026
  • Brieuc Lehmann, Hanbin Lee, Luke Anderson-Trocme, Jerome Kelleher, Gregor Gorjanc, and Peter L. Ralph On ARGs, pedigrees, and genetic relatedness matrices. Genetics, 2026
  • Hanbin Lee, Rosalind F. Craddock, Gregor Gorjanc, and Hannes Becher randPedPCA: Rapid approximation of principal components from large pedigrees. Genetics Selection Evolution, 2025
  • Hanbin Lee*, Moo Hyuk Lee*, Kangcheng Hou, Bogdan Pasaniuc, and Buhm Han Admixed and single-continental genome segments of the same ancestry have distinct linkage disequilibrium patterns. Genome Biology, 2025
  • Hanbin Lee, and Buhm Han Pseudobulk with proper offsets has the same statistical properties as generalized linear mixed models in single-cell case-control studies. Bioinformatics, 2024
  • Hanbin Lee, and Buhm Han FastRNA: an efficient exact solution for PCA of single-cell RNA sequencing data based on a batch-accounting count model. American Journal of Human Genetics, 2022
  • Hanbin Lee, and Buhm Han A theory-based practical solution to correct for sex-differential participation bias. Genome Biology, 2022
  • Chanwoo Kim*, Hanbin Lee*, Juhee Jeong, Keehoon Jung and Buhm Han MarcoPolo: a clustering-free approach to the exploration of differentially expressed genes along with group information in single-cell RNA-seq data. Nucleic Acids Research, 2022