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You are invited to the CCBI Annual Symposium. This one-day event reflects the strength and diversity of research in computational biology, taken broadly, both within Cambridge University and beyond.


To attend the symposium, please follow the registration link below. Attendance is free of charge. Please register in advance so there is time for you to be sent the Zoom link.

Register here


All of the talks will be accompanied by an opportunity to ask the speaker some questions.

09:00-10:20 Opening with Gos Micklem, followed by talks from

  • 09:00: Rosana Collepardo Physical determinants of biomolecular phase-separation (Departments of Physics, Genetics and Chemistry) 
  • 09:40: Sach Mukherjee Towards causal learning at genome scale (MRC Biostatistics Unit and DZNE)

10:20-10:40 Break

10:40-12:40 Session chaired by Stephen Eglan, with talks from

  • 10:40: Andrew Phillips Programming molecular and genetic circuits (Microsoft Research)
  • 11:20: Will Earley Computing on a (free energy) budget: Reversible Computation (Department of Applied Mathematics and Theoretical Physics)
  • 11:40: Hong Ge Building an automated probabilistic modelling workflow for computational biology (Department of Engineering)
  • 12:20: Giulia Guizzardi Executable Research Article (ERA): Enriching a research paper with code and data (eLife Sciences Publications)

12:40-13:10 Break

13:10-14:50 Session chaired by Bianca Dumitrascu, with guest Peter Landshoff

  • 13:10: Prize session and two 20 minute talks from the Mathematical Genomics & Medicine PhD Programme
  • 13:50: Keynote from Sarah Teichmann MultiMAP: Dimensionality Reduction and Integration of Multimodal Data in the Human Cell Atlas (Wellcome Sanger Institute; EMBL-EBI; Department of Physics)

14:50-15:10 Break

15:10-16:30 Session chaired by Angelica Aviles-Rivero, with talks from

  • 15:10: Virginie Uhlmann Quantifying biological shape across spatiotemporal scales (EMBL-European Bioinformatics Institute)
  • 15:50: Paul Sweeney  Exploring the tumour microenvironment using image-based biophysical modelling (Cancer Research UK Cambridge Institute)

16:30-16:40 Closing with Gos Micklem

Times above are UK BST.

Wednesday, 12 May, 2021 - 09:00 to 17:00

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The Cambridge Mathematics of Information in Healthcare Hub (CMIH) is a collaboration between mathematics, statistics, computer science and medicine, aiming to develop robust and clinically practical data analytics algorithms for healthcare decision making. Our work focusses on some of the most challenging public health problems; Cancer, Cardiovascular Disease, and Dementia.




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