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Matthias Steinruecken

Assistant Professor
steinrue@uchicago.edu
Research Summary
In my research, I develop computational and statistical methods for population genomics analysis to investigate the forces underlying evolution and genetic variation in populations. Specifically, some things we work on are inferring demographic histories, and studying adaptation using ancient DNA or time series genetic data.
Keywords
Population Genetics, Statistical Genetics, Mathematical Biology
Education
  • Technical University Berlin, Berlin, PhD Mathematics 09/2009
  • Bielefeld University, Bielefeld, Diplom Computer Science 06/2006
Biosciences Graduate Program Association
Awards & Honors
  • 2006 - 2009 Ph.D. Fellowship, International Research Training Group TU Berlin
  • 2011 - 2013 Postdoctoral Research Fellowship German Research Foundation (DFG)
Publications

  1. Inference of population history using coalescent HMMs: review and outlook. Curr Opin Genet Dev. 2018 12; 53:70-76. View in: PubMed

  2. Model-based detection and analysis of introgressed Neanderthal ancestry in modern humans. Mol Ecol. 2018 10; 27(19):3873-3888. View in: PubMed

  3. Terminal Pleistocene Alaskan genome reveals first founding population of Native Americans. Nature. 2018 01 11; 553(7687):203-207. View in: PubMed

  4. Computing the joint distribution of the total tree length across loci in populations with variable size. Theor Popul Biol. 2017 12; 118:1-19. View in: PubMed

  5. The Effects of Population Size Histories on Estimates of Selection Coefficients from Time-Series Genetic Data. Mol Biol Evol. 2016 11; 33(11):3002-3027. View in: PubMed

  6. SpectralTDF: transition densities of diffusion processes with time-varying selection parameters, mutation rates and effective population sizes. Bioinformatics. 2016 03 01; 32(5):795-7. View in: PubMed

  7. POPULATION GENETICS. Genomic evidence for the Pleistocene and recent population history of Native Americans. Science. 2015 Aug 21; 349(6250):aab3884. View in: PubMed

  8. Transition Densities and Sample Frequency Spectra of Diffusion Processes with Selection and Variable Population Size. Genetics. 2015 Jun; 200(2):601-17. View in: PubMed

  9. A NOVEL SPECTRAL METHOD FOR INFERRING GENERAL DIPLOID SELECTION FROM TIME SERIES GENETIC DATA. Ann Appl Stat. 2014 Dec; 8(4):2203-2222. View in: PubMed

  10. Analysis of DNA sequence variation within marine species using Beta-coalescents. Theor Popul Biol. 2013 Aug; 87:15-24. View in: PubMed

  11. An explicit transition density expansion for a multi-allelic Wright-Fisher diffusion with general diploid selection. Theor Popul Biol. 2013 Feb; 83:1-14. View in: PubMed

  12. A sequentially Markov conditional sampling distribution for structured populations with migration and recombination. Theor Popul Biol. 2013 Aug; 87:51-61. View in: PubMed

  13. A simple method for finding explicit analytic transition densities of diffusion processes with general diploid selection. Genetics. 2012 Mar; 190(3):1117-29. View in: PubMed

  14. Importance sampling for Lambda-coalescents in the infinitely many sites model. Theor Popul Biol. 2011 Jun; 79(4):155-73. View in: PubMed

  15. An accurate sequentially Markov conditional sampling distribution for the coalescent with recombination. Genetics. 2011 Apr; 187(4):1115-28. View in: PubMed

  16. A modified lookdown construction for the Xi-Fleming-Viot process with mutation and populations with recurrent bottlenecks. ALEA: Latin American Journal of Probability and Mathematical Statistics. 2009; (6):25-61.::::

  17. Automatic Detection of Song Changes in Music Mixes Using Stochastic Models. 18th International Conference on Pattern Recognition. 2006; 665-668.::::
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