Assistant Professor Of Computer Science at Vanderbilt University Department of Computer Science
Nashville-Davidson, Tennessee, United States
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Summary
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Soheil Kolouri is an Assistant Professor of Computer Science at Vanderbilt University who leads the Machine Intelligence and Neural Technologies (MINT) lab, specializing in mathematical and geometric deep learning and computational optimal transport. With about a decade of experience spanning academia and industry, he previously served as a research scientist and PI on multiple DARPA programs at HRL Laboratories. He earned a Ph.D. from Carnegie Mellon University where his work in bio-image and signal analysis earned top departmental dissertation honors and a Bertucci Fellowship. Soheil’s research blends rigorous theory with applied problems—zero/few-shot learning, lifelong learning, and explainable AI—often connecting optimal transport theory to practical vision and biomedical applications. He has a track record of translating research into funded projects and multidisciplinary collaborations, and his background in electrical engineering and community leadership signals both technical depth and people-centered mentorship. Based in Nashville, he continues to push foundational ML methods while mentoring students toward impactful, translational work.
10 years of coding experience
11 years of employment as a software developer
Master of Science (M.Sc.) Electrical Electronics and Communications Engineering, Master of Science (M.Sc.) Electrical Electronics and Communications Engineering at Colorado State University
Doctor of Philosophy (Ph.D.) Machine Learning Bio-Image/Signal Analysis, Doctor of Philosophy (Ph.D.) Machine Learning Bio-Image/Signal Analysis at Carnegie Mellon University
Bachelor of Science (B.Sc.) Communications, Bachelor of Science (B.Sc.) Communications at Electrical Engineering Department, Sharif University of Technology
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Soheil Kolouri - Assistant Professor Of Computer Science at Vanderbilt University Department of Computer Science