School of Medicine
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Suhas Srinivasan, Ph.D.
Principal Bioinformatics Scientist, Dermatology
BioI develop computational methods to discover insights at various resolutions of the biological hierarchy i.e., molecules, cells, tissues, organs, organism and population-scale.
In my current role, I lead the bioinformatics efforts for two groups that are pioneers in epigenomics research.
We study tissue development, cancer evolution, and autoimmunity using multiomics, with a focus on the non-coding genome.
I have over four years of professional experience in industry and academia, and over eight years of academic research experience.
I received my Ph.D. in Data Science specializing in machine learning development for diverse biomedical problems.
My research interests include artificial intelligence to identify novel patterns in multiomics data, psychometrics and neuroimaging data; structural bioinformatics and computational epidemiology. Additionally, I have conducted research in anomaly detection, and community detection in biological networks.
I am the co-inventor of a patented anomaly detection method for real-time streaming data.