University of Glasgow
Computational Biology Conference


27-28th May 2021

Take part in 2 days of talks, networking and learning about everything computational biology from anywhere in the world!

Abstract Submission

Deadline: 30th April 2021

Submit an abstract to take part in the first University of Glasgow Computational Biology Conference! (250 Word Limit)

An opportunity to bring together Computational Biologists from across the University

Computational biology is fast becoming one of the most interesting research areas in modern science and the University of Glasgow has a large number of researchers working within the area.

Prof Robert Insall FRSE

Prof Robert Insall FRSE Leads the Cell Migration and Chemotaxis group at the Beatson Institute for Cancer Research.

Dr Richard Reeve

Dr Richard Reeve is a Reader in the Institute of Biodiversity Animal Health & Comparative Medicine and is the co-director of Boyd Orr Centre for Population and Ecosystem Health.

Dr Breda Cullen

Dr Breda Cullen is a senior lecturer in Clinical Psychology and member of the UK Biobank Research Team.

Dr Mayetri Gupta

Dr Mayetri Gupta is a Reader in the School of Mathematics and Statistics.

Our Goal

The first University of Glasgow computational biology conference is an opportunity for Ph.D. students and early career researchers to come together to share ideas and build collaboration for future projects. The conference will cover a wide variety of applied and methodological research related to computational biology, and we welcome researchers from a variety of backgrounds.

If your research area is not covered by the list above but it’s still relevant to computational biology, do not hesitate to submit an abstract. The conference will give the chance for students and early career researchers to present their work, but also give them the opportunity to listen to established researchers from within the University of Glasgow. See the confirmed list of keynote speakers. This 2-day event provides excellent opportunities to network and discuss your research. There will be opportunities to network and discuss research as part of break out rooms.

Topics of Interest

  • Omics
  • Systems Biology
  • Population Genetics
  • Medical Imaging
  • Computational approaches to
    public health and clinical data