Update: We have decided to extend the abstract deadline for contributed talks. Please submit your abstract via the EasyChair website by 17th May 2019. Author notifications will be sent out by 24th May 2019.

Machine learning has seen a plethora of applications within the field of computational biology, statistical genomics and precision medicine in recent years. This two-day symposium aims to focus on recent advances in the area by:

  • Bringing together the machine learning and statistical genomics communities, with a focus on applications in precision medicine.
  • Introducing genomics and the use of genomic markers for causal reasoning (Mendelian randomization) as a potential field of application for machine learning and statistical researchers.
  • Supporting the development of new research links between researchers in academia and industry with an interest in precision medicine.

The symposium will consist of invited and contributed sessions, with speakers including John Whittaker (GSK), Louise Millard (Bristol), Stephanie Hyland (Microsoft), Jack Bowden (Bristol), Sach Mukherjee (German Centre for Neurodegenerative Diseases), Svetlana Cherlin (Newcastle) and Chris Yau (Birmingham).

Abstracts for contributed talks can be submitted here. Abstracts should contain a maximum of 350 words. The deadline for abstracts is 17th May.

Spaces at the symposium are limited; please register using this link. Registration is free due to generous funding by the Lancaster Data Science Institute, but will close on 7th June.

Organizing Committee
Frank Dondelinger

Joanne Knight
Tom Palmer

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