FHS Seminar Series - Methods for combining multiple types of omics data to derive novel understanding of complex disease
by Dr. Sara Mostafavi, Assistant Professor & Canada Research Chair in Computational Biology, Dept. of Statistics and Dept. Medical Genetics, UBC; Scientist, Centre for Molecular Medicine and Therapeutics
November 29, 2018 at 12:00 pm to 1:15 pm
Blusson Hall, Room 9920
Recent availability of large-scale multi-omics datasets from human cohort studies present new opportunities for deriving molecular mechanisms for complex disease. However, a central challenge in using these genomics data to understand complex traits is to disentangle causal, and hence reproducible and meaningful associations, from merely correlated ones. In this talk, I’ll describe ongoing projects that develop new statistical and computational methods for integrative analysis of multi-omics data, with the ultimate goal of providing insights into complex human diseases including major depression.
Sara Mostafavi is an Assistant Professor, jointly appointed in the Departments of Statistics and Medical Genetics at UBC. She holds a Canada Research Chair (CRC II) in Computational Biology, and is a fellow of the Canadian institute for Advanced Research (CIFAR). Sara earned her PhD in Computer Science at University of Toronto in 2010, and then performed her postdoctoral research at Stanford working with Daphne Koller. Her research focuses on developing probabilistic and machine learning methods for combining multiple types of omics data in order to understand complex human traits and disease.
- This Seminar Series is open to the SFU and the Broader Research Community.
- This seminar may be webcast and recorded.
- A light lunch will be available at this seminar.
- The FHS Research Seminar Series is an Accredited Small Group Learning by the Royal College of Physicians and Surgeons.