Arjun Krishnan
Assistant Professor
Arjun Krishnan develops and applies computational data-driven approaches to unravel how our genome relates to health and disease.
Get in touchBiography
Arjun Krishnan is leading a research group that develops computational approaches to study the genetic basis of biomedical phenomena relevant to human health and disease. The Krishnan Lab is primarily interested in bridging the gap between large-scale genomic/clinical data and actionable biological insights using statistical and machine learning approaches.
He joined the faculty of Michigan State University in January 2017. Krishnan received his Ph.D. in 2010 from Virginia Tech, and continued briefly
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as a postdoctoral researcher. There, working with Prof. Andy Pereira, he developed computational genomic methods to reconstruct the gene-regulatory programs in both model and crop plants. In 2011, he began his postdoctoral research in the Lewis-Sigler Institute for Integrative Genomics at Princeton University with Prof. Olga Troyanskaya. There, he developed integrative data-driven approaches to study tissue-specificity in the function of human genes and their association with complex diseases.
Education
Virginia Tech: PhD, Genetics, Bioinformatics, and Computational Biology | 2010
Anna University: BTech, Biotechnology | 2006
Selected Press
New Early Career Award Trains World-Class Postdocs, Advances Wheels of Innovation
Research@MSU | 2019-09-10
Hickey will be working with a team that includes Ralston, who studies how molecules instruct stem cell behavior, Jin He, assistant professor in BMB who studies brains cells and brain cancer, David Arnosti, professor in BMB who studies fundamental problems in early embryo genesis, and Arjun Krishnan, assistant professor in BMB and the Department of Computational Math, Science and Engineering who applies computational, data-driven approaches to the study of genomes.
New Computational Methods May Lead to Healthier Future
Research@MSU | 2017-04-04
Work in the lab of Arjun Krishnan (seated), a CMSE assistant professor with a joint appointment in BMB (also a Global Impact researcher), focuses on how genomics relates to human health and disease. His approach involves using existing large datasets that represent decades of experimental work by hundreds of researchers across the world who have made their data publicly available.
