Harsh Jain

Harsh Jain is an Associate Professor and Director of Graduate Studies in the Department of Mathematics & Statistics at the University of Minnesota Duluth. He specializes in mathematical oncology, developing dynamical systems models to understand cancer progression and treatment response, with a focus on inter-individual heterogeneity and data-driven modeling. In 2025-2026, he will hold the prestigious Shelly Visiting Associate Professorship at Carnegie Mellon University.

• Education: Ph.D. in Mathematics (University of Michigan, 2008), B.A. in Mathematics (University of Delhi and Cambridge University)
• Research: Cancer modeling, surrogate modeling (SMoRe ParS/GloS), uncertainty quantification, and neuroimmune pain mechanisms

Recent publications address agent-based models, tumor growth heterogeneity, and surrogate modeling frameworks. He has received NSF, NIH, and Simons Foundation grants, including a $600,000 NSF eMB grant for computational biology research.

• Scientific awards: Shelly Visiting Associate Professorship, Howard Highholt Endowed Professor, James Riehl Young Teacher Award
• Students: Mentored 2 Ph.D., 6 M.S., and multiple UROP students in mathematical biology projects