Maria K. Cameron
University of Maryland, Department of Mathematics
News
Cameron's group meeting, Spring 2025. Fridays, 2 PM. Schedule.
Bio
I graduated from the Moscow Institute of Physics and Technology, Russia, with a Master’s degree, and then earned my Ph.D. from UC Berkeley in 2007. My thesis advisor was James Sethian. After my graduation, I took a Courant Instructor position in NYU, and then joined the University of Maryland as a faculty in 2010.
Research interests
My research is devoted to the development of numerical methods for solving mathematical problems arising in natural sciences including geophysics, chemical physics, material science, mechanics, and chemistry. My particular interest is quantification of rare events in complex physical and chemical systems. I have been working on Hamilton-Jacobi solvers for nonlinear PDEs and optimal control problems, greedy graph algorithms for analysis of complex networks, and recently on methods involving diffusion maps and neural networks.
Current Graduate Students
Former Graduate Students
- Manyuan Tao (Ph.D. 2023 in Applied Mathematics). Next job: Scale AI, San Francisco, CA
- Luke Evans (Ph.D. 2023 in Applied Mathematics). Next job: Flatiron Institute, NYC, NY
- Lautaro Cilenti (Ph.D. in Mechanical Engineering 2022). Next job: Lockheed Martin, Sunnivale, CA
- Samuel Potter (Ph.D. in Computer Science 2021). Next job: Courant Instructor, NYU
- Nicholas Paskal (Ph.D. in Applied Mathematics 2021). Next job: Wells Fargo, Charlotte, NC
- Danielle Middlebrooks (Ph.D. in Applied Mathematics 2020). Next job: NIST, Gaithersburg, MD
- Tingyue Gan (Ph.D. in Applied Mathematics 2017). Next job: Consortium for Data Management at Risk, UC Berkeley
Former Postdocs
Past Brin Workshops
Site created by Michelle Cameron
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