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Matthias Steinruecken

TitleAssistant Professor
InstitutionUniversity of Chicago
DepartmentEcology and Evolution
AddressChicago IL 60637
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    Collapse Overview 
    Collapse overview
    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.


    Collapse Biography 
    Collapse education and training
    Technical University Berlin, BerlinPhD09/2009Mathematics
    Bielefeld University, BielefeldDiplom06/2006Computer Science
    Collapse awards and honors
    2011 - 2013Postdoctoral Research Fellowship, German Research Foundation (DFG)
    2006 - 2009Ph.D. Fellowship, International Research Training Group, TU Berlin

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    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Spence JP, Steinrücken M, Terhorst J, Song YS. Inference of population history using coalescent HMMs: review and outlook. Curr Opin Genet Dev. 2018 12; 53:70-76. PMID: 30056275.
      View in: PubMed
    2. Steinrücken M, Spence JP, Kamm JA, Wieczorek E, Song YS. Model-based detection and analysis of introgressed Neanderthal ancestry in modern humans. Mol Ecol. 2018 10; 27(19):3873-3888. PMID: 29603507.
      View in: PubMed
    3. Moreno-Mayar JV, Potter BA, Vinner L, Steinrücken M, Rasmussen S, Terhorst J, Kamm JA, Albrechtsen A, Malaspinas AS, Sikora M, Reuther JD, Irish JD, Malhi RS, Orlando L, Song YS, Nielsen R, Meltzer DJ, Willerslev E. Terminal Pleistocene Alaskan genome reveals first founding population of Native Americans. Nature. 2018 01 11; 553(7687):203-207. PMID: 29323294.
      View in: PubMed
    4. Miroshnikov A, Steinrücken M. Computing the joint distribution of the total tree length across loci in populations with variable size. Theor Popul Biol. 2017 12; 118:1-19. PMID: 28943126.
      View in: PubMed
    5. Jewett EM, Steinrücken M, Song YS. 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. PMID: 27550904.
      View in: PubMed
    6. Steinrücken M, Jewett EM, Song YS. 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. PMID: 26556388.
      View in: PubMed
    7. Raghavan M, Steinrücken M, Harris K, Schiffels S, Rasmussen S, DeGiorgio M, Albrechtsen A, Valdiosera C, Ávila-Arcos MC, Malaspinas AS, Eriksson A, Moltke I, Metspalu M, Homburger JR, Wall J, Cornejo OE, Moreno-Mayar JV, Korneliussen TS, Pierre T, Rasmussen M, Campos PF, de Barros Damgaard P, Allentoft ME, Lindo J, Metspalu E, Rodríguez-Varela R, Mansilla J, Henrickson C, Seguin-Orlando A, Malmström H, Stafford T, Shringarpure SS, Moreno-Estrada A, Karmin M, Tambets K, Bergström A, Xue Y, Warmuth V, Friend AD, Singarayer J, Valdes P, Balloux F, Leboreiro I, Vera JL, Rangel-Villalobos H, Pettener D, Luiselli D, Davis LG, Heyer E, Zollikofer CPE, Ponce de León MS, Smith CI, Grimes V, Pike KA, Deal M, Fuller BT, Arriaza B, Standen V, Luz MF, Ricaut F, Guidon N, Osipova L, Voevoda MI, Posukh OL, Balanovsky O, Lavryashina M, Bogunov Y, Khusnutdinova E, Gubina M, Balanovska E, Fedorova S, Litvinov S, Malyarchuk B, Derenko M, Mosher MJ, Archer D, Cybulski J, Petzelt B, Mitchell J, Worl R, Norman PJ, Parham P, Kemp BM, Kivisild T, Tyler-Smith C, Sandhu MS, Crawford M, Villems R, Smith DG, Waters MR, Goebel T, Johnson JR, Malhi RS, Jakobsson M, Meltzer DJ, Manica A, Durbin R, Bustamante CD, Song YS, Nielsen R, Willerslev E. POPULATION GENETICS. Genomic evidence for the Pleistocene and recent population history of Native Americans. Science. 2015 Aug 21; 349(6250):aab3884. PMID: 26198033.
      View in: PubMed
    8. Živkovic D, Steinrücken M, Song YS, Stephan W. Transition Densities and Sample Frequency Spectra of Diffusion Processes with Selection and Variable Population Size. Genetics. 2015 Jun; 200(2):601-17. PMID: 25873633.
      View in: PubMed
    9. Steinrücken M, Bhaskar A, Song YS. A NOVEL SPECTRAL METHOD FOR INFERRING GENERAL DIPLOID SELECTION FROM TIME SERIES GENETIC DATA. Ann Appl Stat. 2014 Dec; 8(4):2203-2222. PMID: 25598858.
      View in: PubMed
    10. Steinrücken M, Birkner M, Blath J. Analysis of DNA sequence variation within marine species using Beta-coalescents. Theor Popul Biol. 2013 Aug; 87:15-24. PMID: 23376155.
      View in: PubMed
    11. Steinrücken M, Wang YX, Song YS. An explicit transition density expansion for a multi-allelic Wright-Fisher diffusion with general diploid selection. Theor Popul Biol. 2013 Feb; 83:1-14. PMID: 23127866.
      View in: PubMed
    12. Steinrücken M, Paul JS, Song YS. A sequentially Markov conditional sampling distribution for structured populations with migration and recombination. Theor Popul Biol. 2013 Aug; 87:51-61. PMID: 23010245.
      View in: PubMed
    13. Song YS, Steinrücken M. A simple method for finding explicit analytic transition densities of diffusion processes with general diploid selection. Genetics. 2012 Mar; 190(3):1117-29. PMID: 22209899.
      View in: PubMed
    14. Birkner M, Blath J, Steinrücken M. Importance sampling for Lambda-coalescents in the infinitely many sites model. Theor Popul Biol. 2011 Jun; 79(4):155-73. PMID: 21296095.
      View in: PubMed
    15. Paul JS, Steinrücken M, Song YS. An accurate sequentially Markov conditional sampling distribution for the coalescent with recombination. Genetics. 2011 Apr; 187(4):1115-28. PMID: 21270390.
      View in: PubMed
    16. Birkner M, Blath J, Möhle M, Steinrücken M, Tams J. 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. Plötz T, Fink GA, Husemann P, Kanies S, Lienemann K, Marschall T, Martin M, Schillingmann L, Steinrücken M, Sudek H. Automatic Detection of Song Changes in Music Mixes Using Stochastic Models. 18th International Conference on Pattern Recognition. 2006; 665-668.
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