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Bio: Professor Cameron graduated from the Moscow Institute of Physics and Technology, Russia, with a Master’s degree, and then earned her Ph.D. from UC Berkeley in 2007. Her thesis advisor was James Sethian. After graduation, she took a Courant Instructor position in NYU, and then joined the University of Maryland as a faculty in 2010.

Her 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. Of particular interest is quantification of rare events in complex physical and chemical systems. She has 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.