Jonathan Terhorst

I am an assisant professor in the statistics department at the University of Michigan in Ann Arbor. I’m interested in statistical / population genetics, machine learning, and generally developing mathematical models and software to help fellow scientists understand their data.

Contact Information

269 West Hall
1085 South University
Ann Arbor, MI 48109-1107
jonth@umich.edu

Teaching

Preprints

  1. Ki C, Terhorst J. Exact decoding of the sequentially Markov coalescent. bioRxiv. 2020. doi:10.1101/2020.09.21.307355 [link] [bibtex]
  2. Dilber E, Terhorst J. Robust detection of natural selection using a probabilistic model of tree imbalance. bioRxiv. 2021. doi:10.1101/2021.05.12.443797 [link] [bibtex]
  3. Erdmann-Pham DD, Song YS, Terhorst J. Generalized Spacing-Statistics and a New Family of Non-Parametric Tests. arXiv:200806664. 2020. [bibtex]

Publications

  1. Kamm J, Terhorst J, Durbin R, Song YS. Efficiently Inferring the Demographic History of Many Populations With Allele Count Data. Journal of the American Statistical Association. 2020;115: 1472–1487. doi:10.1080/01621459.2019.1635482 [bibtex]
  2. Plumb G, Terhorst J, Sankararaman S, Talwalkar A. Explaining Groups of Points in Low-Dimensional Representations. International Conference on Machine Learning (ICML). 2020. [bibtex]
  3. Gao Z, Terhorst J, Van Hout CV, Stoev S. U-PASS: unified power analysis and forensics for qualitative traits in genetic association studies. Bioinformatics. 2019;36: 974–975. doi:10.1093/bioinformatics/btz637 [bibtex]
  4. Spence JP, Steinrücken M, Terhorst J, Song YS. Inference of population history using coalescent HMMs: review and outlook. Current Opinion in Genetics & Development. 2018;53: 70–76. doi:10.1016/j.gde.2018.07.002 [bibtex]
  5. Palamara PF, Terhorst J, Song YS, Price AL. High-throughput inference of pairwise coalescence times identifies signals of selection and enriched disease heritability. Nature Genetics. 2018;50: 1311. doi:10.1038/s41588-018-0177-x [bibtex]
  6. Moreno-Mayar J. Vı́ctor, Potter BA, Vinner L, Steinrücken M, Rasmussen S, Terhorst J, et al. Terminal Pleistocene Alaskan genome reveals first founding population of Native Americans. Nature. 2018. doi:10.1038/nature25173 [bibtex]
  7. Talwalkar A, Liptrap J, Newcomb J, Hartl C, Terhorst J, Curtis K, et al. SMASH: a benchmarking toolkit for human genome variant calling. Bioinformatics. 2014;30: 2787–2795. doi:10.1093/bioinformatics/btu345 [bibtex]
  8. Terhorst J, Kamm JA, Song YS. Robust and scalable inference of population history from hundreds of unphased whole genomes. Nature Genetics. 2017;49: 303–309. doi:10.1038/ng.3748 [bibtex]
  9. Kamm JA, Terhorst J, Song YS. Efficient Computation of the Joint Sample Frequency Spectra for Multiple Populations. Journal of Computational and Graphical Statistics. 2017;26: 182–194. doi:10.1080/10618600.2016.1159212 [bibtex]
  10. Liu T-Y, Dodson AE, Terhorst J, Song YS, Rine J. Riches of phenotype computationally extracted from microbial colonies. Proceedings of the National Academy of Sciences. 2016;113: E2822–E2831. doi:10.1073/pnas.1523295113 [bibtex]
  11. Terhorst J, Schlötterer C, Song YS. Multi-locus Analysis of Genomic Time Series Data from Experimental Evolution. PLoS Genetics. 2015;11: 1–29. doi:10.1371/journal.pgen.1005069 [bibtex]
  12. Terhorst J, Song YS. Fundamental limits on the accuracy of demographic inference based on the sample frequency spectrum. Proceedings of the National Academy of Sciences. 2015;112: 7677–7682. doi:10.1073/pnas.1503717112 [bibtex]
  13. Talwalkar A, Liptrap J, Newcomb J, Hartl C, Terhorst J, Curtis K, et al. SMaSH: a benchmarking toolkit for human genome variant calling. Bioinformatics. 2014;30: 2787–2795. doi:10.1093/bioinformatics/btu345 [bibtex]
  14. Jaggi M, Smith V, Takac M, Terhorst J, Krishnan S, Hofmann T, et al. Communication-Efficient Distributed Dual Coordinate Ascent. In: Ghahramani Z, Welling M, Cortes C, Lawrence ND, Weinberger KQ, editors. Advances in Neural Information Processing Systems 27. 2014. pp. 3068–3076. [bibtex]
  15. Bloniarz A, Talwalkar A, Terhorst J, Jordan MI, Patterson D, Yu B, et al. Changepoint Analysis for Efficient Variant Calling. In: Sharan R, editor. RECOMB 2014. Cham; 2014. pp. 20–34. doi:10.1007/978-3-319-05269-4_3 [bibtex]
  16. Terhorst J. The Kalmanson Complex. Master's thesis, San Francisco State University. 2011. Retrieved: https://arxiv.org/abs/1102.3177 [link] [bibtex]

Past lives

  1. Sunding D, Terhorst J. Conserving endangered species through regulation of urban development: the case of California vernal pools. Land Economics. 2014;90: 290–305. doi:10.3368/le.90.2.290 [bibtex]
  2. Terhorst J, Berkman M. Effect of coal-fired power generation on visibility in a nearby national park. Atmospheric Environment. 2010;44: 2524–2531. doi:10.1016/j.atmosenv.2010.04.022 [bibtex]
  3. Sunding D, Swoboda A, Terhorst J. Federal Land Use Controls and the Planning Anticommons. UC Berkeley, Department of Agricultural and Resource Economics; 2007. Retrieved: https://are.berkeley.edu/ sunding/FederalLandUse.pdf [link] [bibtex]