Seminar on experimental immunology and AI/machine learning.

Gaurav Chopra is a tenured Associate Professor in the Department of Chemistry and Computer Science at Purdue University and the Director of Merck-Purdue Center for Measurement Science - a Merck sponsored center funding projects across Purdue University College of Science, Pharmacy and Engineering. Chopra is a core member of the Purdue Center for Cancer Research, Purdue Institute for Drug Discovery, Integrative Data Science, Purdue Institute for Integrative Neuroscience and Purdue Institute of Inflammation, Immunology and Infectious Disease. Chopra did his PhD with Michael Levitt (2013 Nobel Laureate in Chemistry) in computational mathematics, chemistry and biology at Stanford School of Engineering and School of Medicine and then was a JDRF fellow in experimental immunology with Jeffrey Bluestone at the University of California – San Francisco School of Medicine. Chopra’s research program in Chemical and Cellular Immunology is focused on developing and using closed loop AI/ML methodologies, chemical tools for drug discovery, single-cell bioanalytical methods and animal models to understand immune and glial cells dysfunction in chronic inflammation and disease to identify and then target “brakes” of the immune system for cancer and neurodegeneration. His laboratory brings experimental immunology, AI/machine learning, chemical reactivity, mass spectrometry and modeling together in a chemically guided experimental research program