Dennis Wang

Lecturer and Group Leader in Genomic Medicine and Bioinformatics, Co-Lead for the Genomic Medicine Education Programme, Deputy Theme Lead/Scientific Director
NIHR Sheffield Biomedical Research Centre/Sheffield Bioinformatics Core
Dennis obtained his PhD in Statistical Genetics from the MRC Biostatistics Unit, University of Cambridge. This was followed by research positions at the Ontario Cancer Institute and AstraZeneca. He is currently a Lecturer and Group Leader in the departments of Neuroscience and Computer Science at the University of Sheffield and Honorary Lecturer at Imperial College London. He leads the Genomics and Bioinformatics theme of the NIHR Sheffield Biomedical Research Centre and is the Scientific Director of the Sheffield Bioinformatics Core. Dennis’ research focuses on translating patterns in the human genome into actionable information that accelerates the development of treatments for complex diseases. His group uses machine learning algorithms and statistical models to integrate genomic and clinical data sets in order to predict patient outcomes. They also develop simple computational methods that catch biases in diagnostic data and help clinical researchers objectively stratify patients. Having worked at academia and industry, he enjoys working collaboratively on both research and teaching to promote data driven approaches for personalising medicines.

Sessions

November 8 2019, 15:00
 - 15:30
Addressing The Combinatorial Nightmare Of Multi-Omics Data Integration in the Age of AI