University of Cambridge > Talks.cam > Cambridge Infectious Diseases > 100 years after William Bateson – what can we learn about epistasis by today’s statistical machine learning?Title to be confirmed

100 years after William Bateson – what can we learn about epistasis by today’s statistical machine learning?Title to be confirmed

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Fiona Roby.

This talk has been canceled/deleted

This will be a fantastic seminar, highlighting some of Jukka’s recent work that exploits increasingly large pathogen genome datasets with creative and insightful analytical approaches. His group’s work has led to important discoveries into the evolution, resistance and transmission of bacteria and viruses. Jukka is starting a four-month term as a Visiting Fellow at Churchill College and here in the Department, working on infectious disease epidemiology and genomics, and so this seminar is the perfect opportunity to meet him and hear about his research. He is an engaging speaker, and not to be missed!

This talk is part of the Cambridge Infectious Diseases series.

Tell a friend about this talk:

This talk is included in these lists:

This talk is not included in any other list

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity