Data-driven Methods for Unraveling the Genetic Basis of Autism Spectrum Disorder
Friday, October 13, 2017
Arjun Krishnan, Assistant Professor; Department of Comutational Mathematics, Science and Engineering; Department of Biochemistry and Molecular Biology
In this talk, Dr. Krishnan will present some of his recent work in developing and applying computational data-driven approaches to predict and study the genes and cellular mechanisms involved in autism spectrum disorder (ASD). He will highlight some of the new and exciting research directions we are embarking on right now to resolve, understand, and hopefully tackle the heterogeneity of complex disorders like ASD.
Dr. Arjun joined the faculty of Michigan State University in January 2017 and works on developing computational approaches to study the genetic basis of biomedical phenomena relevant to human health and disease. He is primarily interested in bridging the gap between large-scale genomic/clinical data and actionable biological insights using statistical and machine learning approaches.
Dr. Krishnan would be delighted with the opportunity to talk to biomedical & clinical researchers who might be interested in studying ASD genetics and relating it to neurological and other physiological traits, diagnosis, intervention, etc. You may contact him at Arjun@msu.edu