The goal of the Tripathy Lab (https://triplab.org) is to develop a multi-scale understanding of brain cell type diversity, bridging genetics and gene expression with cell and circuit physiology. The lab develops machine learning and statistical methods to help neuroscientists translate information at different levels of organization, like gene expression to neuron electrophysiology. The long-term goal of this work is to better understand the cellular changes that underlie psychiatric and neurological disorders and to ultimately develop approaches that can help guide tailored treatments for mental health patients.
The lab is part of the new Krembil Centre for Neuroinformatics and contributes to the building of large-scale computational simulations of the nervous system. The lab is a computational “dry-lab”, but collaborates extensively with experimental groups in Toronto and beyond.
Dr. Tripathy is an Independent Scientist at the Centre for Addiction and Mental Health and an Assistant Professor in the Department of Psychiatry at the University of Toronto. He did his Post-Doc at the University of British Columbia with Paul Pavlidis, where he worked on integrating neuron electrophysiology with cell type-specific gene expression. He received his PhD in Neural Computation from Carnegie Mellon University with Nathan Urban in 2013, on computational and neuroinformatics methods for studying the electrophysiological diversity of neurons throughout the brain. He received is BSc in Biomedical Engineering from Johns Hopkins University in 2008.