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ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹ûDivision of Biosciences

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Computational Biology stream

Computational biology involves the application of computers and computer science to the understanding and modelling of biological structures and processes.

Computational biology entails the use of computational methods (e.g., algorithms) for the representation and simulation of biological systems, as well as for the interpretation of experimental data, often on a very large scale. This stream also focuses

on modelling biological processes using a mixture of mathematical and computer models.Ìý

Why study computational biology at UCL?ÌýÌý

ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹ûis an international leader in computational biology research and has many collaborations between the biological sciences, and mathematics, statistics and computer science. Students coming to ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹ûwill have access to the expertise found within the ÐÂÏã¸ÛÁùºÏ²Ê¿ª½±½á¹ûCentre for Computational Biology.Ìý

Career prospectsÌýÌý

ALL areas of the biosciences are seeking early career scientists with strong quantitative (computing, mathematical, statistical) skills. Students graduating through the Computational Biology stream will be very competitive for PhD places as well as careers in the private sector computing and bioinformatic areas.Ìý

Topics covered at UCLÌý

Research covers a wide range of biological problems including theoretical and statistical ecology (e.g. Richard Pearson; David Murrell; ), computational and statistical genetics (e.g. Richard Mott; ); computational genomics (; ); evolutionary genetics (; ; );Ìýsystems biology (Francois Balloux; Chris Barnes; ); and quantitative biology ().

Example recent project titlesÌý

  • High dimensional predictive modeling of acute cognitive dysfunctionÌý
  • The evolution of niche with and without mutualismÌý
  • Analysing mitochondrial segregation in fission yeastÌý
  • Artificial selection of whole microbial communities
  • Statistical causal inference from observational time series data

Specific applicant informationÌý

The programme is seeking applications from students who are keen to further their skills in computational biology across any of the topics covered above. Applicants should be able to demonstrate strong skills in mathematics, statistics and/or computer programming and as well as a strong desire to apply them to key questions in biology. Interested students can contact the stream tutor Ziheng Hang by emailingÌýz.yang@ucl.ac.ukÌýor the overall programme lead David MurrellÌýd.murrell@ucl.ac.ukÌý

Computational Biology taught moduleÌý

ÌýThe student will choose a taught module after discussion with the project supervisor, as the taught module may be related to the research project.ÌýPossible options include the following:Ìý

Please Note: There may be access to modules other than those provided in the following lists. However, all optional modules must have the approval of the subject stream tutor. Some modules may be appropriate for more than one subject stream. You can view further information about the modules in the Module Catalogue.Ìý