C2D3 Computational Biology Annual Symposium 2024
C2D3 event
Wed, 15 May 2024 9:45 AM - 5:00 PM
Organiser
Cambridge centre for data-driven discovery
Location
Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WA
We warmly invite you to the C2D3 Computational Biology Annual Symposium 2024!
This event is open to everyone in the Computational Biology Community.
Registrations
now closed
Programme
09.45-10.15 Registration and arrival refreshments
10.15-10.20 Welcome Mike Boemo (Pathology)
Session 1 - Chair: Mike Boemo (Pathology)
- 10.20-10.40 Robin Burns Unravelling the evolution and fidelity of centromeres (Plant Sciences)
- 10.40-11.00 Casper Siu Inference of spatial population structure from long shared haplotypes (Genetics)
- 11.00-11.20 Henry North Genomic monitoring of an invasive agricultural pest (Zoology)
- 11.20-12.20 Keynote: Helen Byrne (Mathematical Institute, Oxford)
12.20-13.00 Lunch
Session 2 - Chair: Aylwyn Scally (Genetics)
- 13.00 - 13.40 Kyriacos Leptos Chlamydomonas navigates towards light via a tuned adaptive flagellar photoresponse similar to its multicellular relatives (DAMTP)
- 13.40 - 14.20 Zeyu Gao Measurable Multi-Instance Learning for Cancer Classification and Spatial Quantification (Oncology)
- 14.20 - 15.00 Siddhartha Kar Integrating germline and somatic genomics to understand cancer development and progression (Early Cancer Institute)
15.00-15.20 Break with refreshments
Session 3 - Chair: Shutong Ye (Pathology)
- 15.20 - 16.00 Katy Brown Identifying and characterising RNA viruses in large sequencing databases (Pathology)
- 16.00 - 16.40 Alex Cagan Ultra-accurate sequencing methods to study somatic evolution across the tree of life (Genetics)
- 16.40 - 16:50 Ryan Daniels Accelerate Programme's AI Clinic (Computer Science)
16.50-17.30 Drinks reception
Organised by C2D3 Computational Biology (formerly the CCBI)
Speaker's Biographies:
- Keynote: Helen Byrne University of Oxford
- Katy Brown
- Alex Cagan
- Ryan Daniels
- Zeyu Gao
- Siddhartha Kar
- Kyriacos Leptos
- Henry North
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Read more about C2D3 Computational Biology here
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