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Prof Christophe Dessimoz
Room 631
Darwin Building
Gower Street
Tel: +44 20 7679 0079 (Int. 30079)
Prof Christophe Dessimoz profile picture
  • Professor of Bioinformatics
  • Genetics, Evolution & Environment
  • Div of Biosciences
  • Faculty of Life Sciences

My first degree was in Biology at ETH Zürich, Switzerland. After half-year stints at Northwestern University (USA), at Tsinghua University (China), and at Chulalongkorn University (Thailand), I returned to ETH Zürich where I obtained my PhD in 2009 for contributions to comparative genomics. I went on to become a postdoc, later senior research associate at ETH Zurich. In 2011, I moved to the EMBL-European Bioinformatics Institute in Hinxton as visiting scientist in Nick Goldman's group, funded by an advanced researcher fellowship from the Swiss National Science foundation. In 2013, I joined the Department of Genetics, Evolution, and Environment and the Department of Computer Science—first as a Lecturer, then as a Reader, and since 2020 as a Professor. Since 2015, I am also a SNSF Professor at the University of Lausanne, Switzerland, and a Group Leader of the Swiss Institute of Bioinformatics.

Research Summary

Lab website: http://lab.dessimoz.org

At the interface between biology and computer science, my research seeks to better understand evolutionary and functional relationships between genes, genomes, and species. I aspire to unravel general principles of molecular evolution and to apply this knowledge to better understand molecular function and dysfunction, using statistical and computational methods. The key questions underlying my research are:

  • How can we best extrapolate our current knowledge of molecular biology, concentrated in just a handful of model organisms, to the rest of life?
  • Conversely, how can we exploit the wealth and diversity of life to better understand human biology and disease?
  • How can we devise methods that get more accurate 
with more data?

I tackle these problems by developing statistical and computational methods and applying them to large-scale genomic data. This process combines biological aspects in the early stages (e.g. problem statement, identifying relevant empirical observations, determining dependable benchmarks and controls), statistical, algorithmic, and computational aspects in the middle (e.g. model formulation, programming, scaling up), and biological aspects again at the end in the interpretation of the results.

Teaching Summary

I organise the 1st year module BIOL0006 "Methods in Ecology and Evolution". 

Academic Background
2009   Doctor of Philosophy Eidgenossische Technische Hochschule Zurich
2003   Master of Science Eidgenossische Technische Hochschule Zurich
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