Local Events Bath

Machine Learning for Functional Genomics
2:15pm - 4pm

Machine Learning for Functional Genomics
Dr Nicholas Priest and Professor Sam Sheppard provide snapshots of academic research on machine learning and functional genomics being done at the University of Bath and elsewhere

IMI Thematic Semester talk
When: Wednesday 2 May 2018, 2.15 - 4pm
Venue: University of Bath, Building 8 West, Room 2.1
Audience: FREE event at the University of Bath, open to all with a ticket 

The part of the geneticist’s toolkit reserved for Machine Learning is not well-worn. The obvious next step is to train computers to identify and validate features of whole genome sequences which encode functionally important traits, such as regulatory networks. However, it is not yet clear how it will be achieved.
Co-sponsored by the Milner Centre for Evolution and the Institute for Mathematical Innovation, this event will provide snapshots of academic research on machine learning and functional genomics being done both here at the University of Bath and abroad.
The goal of the event is to identify the optimal data sets, methodologies and computing resources needed to unleash the power of computer learning for functional genomics.
Please contact the organisers if you want to contribute a short talk or join us for post-meeting discussion at the pub.

2.15pm Seminar3.00pm Question and Answer session3.30pm Refreshments and time for continued discussion4.00pm Close

Dr Nicholas Priest

Our research focuses on how infection constrains the evolutionary process. For the most part, we use fruit flies as host for microbial pathogens to test how flies fight infection and how this alters life history evolution and the evolution of sex and meiotic recombination. The work imbeds mathematical modelling, genomics and machine learning to understand basic processes underlying organic evolution. 

Professor Sam Sheppard

Our research centres on the use of genetics/genomics and phenotypic studies to address complex questions in the ecology, epidemiology and evolution of microbes. Our most recent interest focuses upon comparative genome analysis to describe the core and flexible genome of pathogenic bacteria (Campylobacter,Staphylococcus, Helicobacter and Escherichia coli) and how this is related to population genetic structuring, the maintenance of species, and the evolution of host/niche adaptation and virulence.

This event is free to attend, but please register by Wednesday 25th April 2018.  For further information please email n.fenn@bath.ac.uk or visit the IMI webpage. 

This event is part of the IMI Thematic Semester Machine Learning: Algorithms and Ethics and is arranged by both IMI and the Department of Computer Science at the University of Bath.