Korbinian Strimmer

Korbinian Strimmer (born 1972) is a German statistician specialising in biomedical data science. He is a professor in statistics at the University of Manchester.[2]

Korbinian Strimmer
Born1972
Alma mater
Scientific career
Fields
Institutions
ThesisMaximum Likelihood Methods in Molecular Phylogenetics (1997)
Doctoral advisorArndt von Haeseler
Websitestrimmerlab.org/korbinian.html

Education

Strimmer earned his PhD from the Ludwig Maximilian University of Munich in 1997 under the supervision of Arndt von Haeseler. His thesis is entitled Maximum Likelihood Methods in Molecular Phylogenetics.[1][3]

Research and career

Strimmer was a senior lecturer (W2 professor) at the University of Leipzig from 2007 until 2014.[4] From 2014 until 2017, he was a reader at the Imperial College London, before becoming a professor in statistics at the University of Manchester in 2017.[5]

He has co-authored biostatistical and bioinformatics software,[6] including the phylogenetics package TREE-PUZZLE.[7]

Awards and honours

From 2014 to 2017 Thomson Reuters and Clarivate Analytics ranked Strimmer four times consecutively among "The World's Most Influential Scientific Minds" in the computer science category according to the number of citations.[4][8][9][10]

References
  1. Korbinian Strimmer at the Mathematics Genealogy Project
  2. Institute, Data Science (2017-11-16). "Prof Korbinian Strimmer". Data Science Institute. Retrieved 2018-02-24.
  3. Strimmer, K.S. (1997). Maximum Likelihood Methods in Molecular Phylogenetics. Utz. ISBN 978-3-89675-252-9. Retrieved 2018-02-24.
  4. Leipzig, Universität. "Universität Leipzig: Nachrichten". Universität Leipzig (in German). Retrieved 2018-02-24.
  5. "Prof Korbinian Strimmer". The University of Manchester. Retrieved 2018-02-24.
  6. "Software published by Strimmer". Strimmer Lab.
  7. Schmidt, Heiko A.; Strimmer, Korbinian; Vingron, Martin; Haeseler, von (2002-03-01). "TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing". Bioinformatics. 18 (3): 502–504. doi:10.1093/bioinformatics/18.3.502. ISSN 1367-4803. PMID 11934758. Retrieved 2018-02-17.
  8. "The World's Most Influential Scientific Minds 2014" (PDF). Thomson Reuters.
  9. "Highly Cited Researchers Archived Lists". Clarivate Analytics. Archived from the original on 2018-05-26. Retrieved 2018-03-08.
  10. "2017 Highly Cited Researchers". Clarivate Analytics.
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