Prof. Sara Mostafavi

2015-09-08 14:15:00 2015-09-08 15:00:00 Europe/Helsinki Prof. Sara Mostafavi Topic: Integrating multiple types of genomics data to disentangle meaningful associations. Place: T2, CS Building, Konemiehentie 2. http://old.cs.aalto.fi/en/midcom-permalink-1e54a38b644ac764a3811e5b7bf2139c65f84b884b8 Otakaari 2, 02150, Espoo

Topic: Integrating multiple types of genomics data to disentangle meaningful associations. Place: T2, CS Building, Konemiehentie 2.

08.09.2015 / 14:15 - 15:00

Abstract: In this talk, I will present machine learning and statistical approaches for leveraging prior biological knowledge, while integrating heterogeneous data, in order to find robust associations. In particular, I will first describe a scalable method for the graph-based integration of diverse types of genomics data, in order to accurately infer functional roles for uncharacterized genes based on a small set of known (training) genes. Applying this approach to a large case/control study of major depression, a highly confounded disorder, sheds new light on molecular mechanisms associated with this pathology.

 
 
Bio: Sara Mostafavi is an Assistant Professor of Statistics and Medical Genetics at the University of British Columbia (UBC) in Vancouver. Her research interest lies in developing and applying computational and machine learning approaches to study the genetic basis of complex diseases. Before joining UBC in 2015, Sara was a postdoctoral fellow in the Department of Computer Science and Psychiatry at Stanford University.
 
 
The speaker will be in Helsinki Mon-Tue and be the opponent in Suleiman Ali Khan’s doctoral defense on Mon. Contact Suleiman (suleiman.khan@aalto.fi) in case you would like to meet her during the visit.