Adrianna Gillman’s research interests are in scientific computing, numerical methods for linear PDEs, and numerical linear algebra. Her recent work has focused on “fast” algorithms such as the Fast Multipole Method and fast direct solvers; integral equation formulations for the mathematical modeling of physics and other real world applications; wave scattering, acoustics, variable media; and techniques for handling challenging geometries such as corners, edges, and periodic domains.
Adrianna joined the Rice faculty in 2014 after serving as the John Wesley Young Research Instructor at Dartmouth College for three years. She earned a Ph.D. in applied math from the University of Colorado at Boulder, and an M.S. and B.S. in Mathematics from California State University, Northridge. She was a U.S. National Academy of Sciences Kavli Fellow in 2017 and won a two-year Sloan Research Fellowship in 2016.