skip to primary navigationskip to content
 

Annual Symposium of the Cambridge Computational Biology Institute

The Annual Symposium of the Cambridge Computational Biology Institute will be taking place on the 17th of May 2017.
When May 17, 2017
from 09:00 AM to 05:15 PM
Where Centre for Mathematical Sciences | Wilberforce Road | Cambridge | CB3 0WA
Contact Name
Contact Phone 01223766545
Add event to calendar vCal
iCal

Organised in collaboration by Cambridge University Health Partners and Cambridge Computational Biology Institute, this one-day event will cover a wide range of Research Departments from Astronomy to Engineering, involving speakers from diverse backgrounds across the University and region. This year's Symposium will feature a strong focus on health and health research.

* Attendance is free but registration is needed: *
https://ccbiannualsymposium.eventbrite.co.uk

Speakers:

Sergio Bacallado (DPMMS) A Bayesian mixed model for the analysis of microbial populations
 
Jonathan Cairns (Babraham Institute) Understanding the function of non-coding disease mutations with 3D genomics
 
Erik Clark (Zoology) Dynamical models of insect segment patterning
 
Ali Dariush (Astronomy) A multi-disciplinary approach towards analysing medical imaging data
 
Lydia Drumright (Medicine) Intelligent use of routinely collected data (and samples): increasing research efficiency and transforming medical care?
 
James Liley (CIMR) Characterisation of genetic heterogeneity in disease
 
John Marioni (CRUK CI/EBI) Computational methods for single-cell transcriptomics
 
Keith McNeil (NHS England) Keynote Address
 
Andreas Petrides (Engineering) Substrate enzyme-sequestration in multisite protein phosphorylation
 
Aylwyn Scally (Genetics) Patterns and processes of germline mutation
 
Gopi Shah (CRUK CI) Light sheet microscopy: prospects and challenges of high speed volume imaging

 

Poster FINAL CCBI 2may17 page 001

About

The Synthetic Biology Strategic Research Initiative provides a hub for anyone interested in Synthetic Biology at the University of Cambridge, including researchers, commercial partners and external collaborators. 

Subscribe to our mailing list