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Coalescent Theory

The coalescent has been proven to be a powerful tool in ancestral population genetics. It provides a mathematical method to study the ancestral history of (a sample of) particles, individuals, genes or DNA-sequences chosen from a large population. What the normal distribution is for statisticians is the coalescent for geneticists. An efficient method to collect more information about the coalescent is to present a list of links to people working on coalescent theory.

Links to some persons working on coalescent theory

It all started with Sir John Frank Charles Kingman

  • Berestycki, Julien, Department of Statistics, University of Oxford, England
  • Berestycki, Natanael, Faculty of Mathematics, University of Vienna, Austria
  • Bertoin, Jean, Mathematical Institute, University of Zürich, Switzerland
  • Birkner, Matthias, Department of Mathematics, University of Mainz, Germany
  • Blath, Jochen, Mathematical Institute, University of Frankfurt, Germany
  • Bobrowski, Adam, Department of Mathematics, Lublin University of Technology, Poland
  • Dhersin, Jean-Stéphane Institute Galilée, University Sorbonne Paris Nord, France
  • Donnelly, Peter, Department of Statistics, University of Oxford, England
  • Felsenstein, Joe, Department of Genetics, University of Washington, USA
  • Fu, Yun-Xin, Human Genetics Center, University of Texas at Houston, USA
  • Gnedin, Alexander, Queen Mary, University of London, England
  • Griffiths, Robert C., Department of Statistics, University of Oxford, England
  • Arndt von Haeseler, CIBIV Center for Integrative Bioinformatics Vienna, MFPL Max F. Perutz Laboratories, Vienna, Austria
  • Hey, Jody, Department of Genetics, Rutgers University, USA
  • Huillet, Thierry, Laboratoire Physique Theorique et Modelisation, Physics Department, University Cergy-Pontoise, France
  • Iksanov, Alexander, Operations Research Department, Faculty of Cybernetics, National Taras Shevchenko University of Kiev
  • Kersting, Götz, Department of Mathematics, University of Frankfurt, Germany
  • Krone, Stephen, Department of Mathematics, University of Idaho, USA
  • Limic, Vlada, Mathematics, University Paris-South, France
  • Möhle, Martin, Mathematical Institute, University of Tübingen, Germany
  • Morales, David, Department of Mathematics, University of Arizona, USA
  • Neuhauser, Claudia, Department of Mathematics, University of Minnesota, USA
  • Nordborg, Magnus, Molecular & Computational Biology, University of Southern California, Los Angeles, USA
  • Pitman, Jim, Department of Statistics, University of California, Berkeley, USA
  • Sagitov, Serik, Department of Mathematical Statistics, Chalmers University of Technology and Göteborg University, Göteborg, Sweden
  • Schweinsberg, Jason, Department of Mathematics, University of California at San Diego, USA
  • Tajima, Fumio, Department of Biological Sciences, University of Tokyo, Japan
  • Tavaré, Simon, University of Southern California, Los Angeles, USA
  • Wakeley, John, Department of Organismic & Evolutionary Biology, Harvard University, USA
  • Wakolbinger, Anton, Department of Mathematics, University of Frankfurt, Germany


    • If you would like to be included in the list, please do not hesitate to contact me indicating your URL. If you do not want to appear on the list anymore, please inform me as well.
    [ | | Martin Möhle ]
    Last Update: November 14, 2023