Skip to content

Admixture Genomics

Research group in evolutionary genomics

  • Job opportunities
  • Lab guidance
  • Main
  • Members
  • News
    • Privacy Policy
  • PI-CV
  • WWTF
  • Home
  • Deep Learning in PopGen review

News

  • Contributions: great cats, great apes, bones & faecesOctober 26, 2026
  • SMBE Gene-culture co-evolutionSeptember 24, 2026
  • Defense Michelle HämmerleSeptember 18, 2026
  • Great Ape selection paper publishedSeptember 10, 2026
  • Iron Age Saka paper publishedJuly 27, 2026

Address

University of Vienna
Department for Evolutionary Anthropology
Djerassiplatz 1
1030 Vienna
Austria
Vienna

martin.kuhlwilm@univie.ac.at

+43-1-4277-54730

Links

Bluesky
GitHub (personal)
GitHub (group)
OrcID
Google Scholar
u:find
ResearchGate

Stock image of DNA and numbers
  • Uncategorized

Deep Learning in PopGen review

  • by kuhlwilmm83@univie.ac.at
  • September 4, 2023

We just published a review article in Nature Reviews Genetics: Everything you ever wanted to know about deep learning, its application to population genetic inference, and the potential of this field! Led by Xin Huang, in collaboration with Oscar Lao.

Stock image of DNA and numbers

Deep Learning in PopGen review

September 4, 2023

Deep Learning in PopGen review

September 4, 2023
Stock image of DNA and numbers

Related Posts

  • Contributions: great cats, great apes, bones & faeces

  • SMBE Gene-culture co-evolution

  • Defense Michelle Hämmerle

News

  • Contributions: great cats, great apes, bones & faecesOctober 26, 2026
  • SMBE Gene-culture co-evolutionSeptember 24, 2026
  • Defense Michelle HämmerleSeptember 18, 2026
  • Great Ape selection paper publishedSeptember 10, 2026
  • Iron Age Saka paper publishedJuly 27, 2026

Address

University of Vienna
Department for Evolutionary Anthropology
Djerassiplatz 1
1030 Vienna
Austria
Vienna

martin.kuhlwilm@univie.ac.at

+43-1-4277-54730

Links

Bluesky
GitHub (personal)
GitHub (group)
OrcID
Google Scholar
u:find
ResearchGate

  • Twitter
  • Email
  • LinkedIn
Proudly powered by WordPress
Theme: AeonBlock by AeonWP.
Go to top