Skip to main content

Taylor Kessinger

Research Interests:
Theoretical population genetics
Evolutionary game theory
Coalescence
Rapidly adapting populations
Education

B.S. in Physics, Mathematics, and Ecology/Evolutionary Biology, University of Arizona, 2009

Dr.Rer.Nat. in Bioinformatik, Eberhard Karls Universität Tübingen, 2015

Research

My research interests in theoretical population genetics are very broad. They include:

  • Evolution in rapidly adapting populations: coalescence, patterns of genetic diversity, and the role of genetic draft.
  • Game theory and the evolution of cooperation, especially in populations experiencing strong selection.
  • Stochastic processes and the establishment or invasion of beneficial mutations.
  • Information theory and statistical physical analogues of evolution.

For my bachelor's thesis, I performed bioinformatic and genomic analyses to detect signs of "preadaptation" in Saccharomyces cerevisiae 3' UTRs. In my doctoral dissertation, I developed a novel and parsimonious method for inferring the "escape rates" (selection coefficients) of beneficial mutations in HIV during acute infection. I also worked on the population genetic theory of rapid adaptation and devised methods for distinguishing between the effects of genetic drift and genetic draft.

PubMed Publications*: 
  • AL Radzvilavicius; TA Kessinger; JB Plotkin"Adherence to public institutions that foster cooperation."Nature communications12.1(2021):3567.Details. Full text
  • AL Radzvilavicius; TA Kessinger; JB Plotkin"Author Correction: Adherence to public institutions that foster cooperation."Nature communications12.1(2021):4537.Details. Full text
  • RA Neher; TA Kessinger; BI Shraiman"Coalescence and genetic diversity in sexual populations under selection."Proceedings of the National Academy of Sciences of the United States of America110.39(2013):15836-41.Details. Full text
  • TA Kessinger; AS Perelson; RA Neher"Inferring HIV Escape Rates from Multi-Locus Genotype Data."Frontiers in immunology4.(0):252.Details. Full text
* Publications are automatically pulled from pubmed.gov based on a user-specific query. Results may include incorrect citations. See: Tutorial on improving PubMed results.