Biomedical Data Science School

Biomedicine is increasingly a data rich science. Turning this data into knowledge requires statistical and computational expertise to handle and interrogate large and complex data sets. This week-long school will focus on delivering training on cutting-edge methodologies to analyse high-throughput biological data sets, covering both the theoretical foundations and the practical applications. The school is aimed at early career researchers (PhD students, postdocs) with a foundational knowledge of statistics/ machine learning and an interest in applying/ developing analysis tools for high-throughput data.

The format of the school will consist of lectures in the mornings, and practical tutorials in the afternoon. There will be opportunities for school participants to present their work in a special, half-day workshop session.

Confirmed lecturers:

• Prof John Marioni, CRUK Cancer Institute Cambridge and European Bioinformatics Institute;
• Prof Magnus Rattray, University of Manchester
• Dr Gabriele Schweikert, University of Dundee and University of Tubingen
• Dr Andrea Sottoriva, Institute of Cancer Research, London

Register

Provisional Programme