AM Faculty
Guillaume Bal
applied mathematics, partial differential equations with random coefficients, high frequency waves in random media, theory of inverse transport and applications in medical and geophysical imaging
Daniel Bienstock
applied mathematics, methodology and high-performance implementation of optimization algorithms, applications of optimization: preventing national-scale blackouts, emergency management, approximate solution of massively large optimization problems, higher-dimensional reformulation techniques for integer programming, robust optimization
Mark Cane
climate dynamics, physical oceanography, geophysical fluid dynamics, computational fluid dynamics
C. K. Chu
applied mathematics, large-scale scientific computing, fluid dynamics
Pierre Gentine
land-atmosphere interactions, soil-vegetation-transfer-atmosphere
models, applications of stochastic processes to hydrology and
atmospheric boundary-layer, stochastic rainfall and soil moisture,
data-assimilation (filtering) of remote sensing measurements to
estimate land-surface variable
David Keyes (Chair)
applied and computational mathematics for PDEs, computational science, parallel numerical algorithms, parallel performance analysis, PDE-constrained optimization
Lorenzo Polvani
atmospheric and climate dynamics, geophysical fluid dynamics, numerical methods for weather and climate modeling, planetary atmospheres
Chris Scholz
experimental and theoretical rock mechanics, especially friction, fracture, hydraulic transport properties, nonlinear systems, mechanics of earthquakes and faulting
Adam Sobel
atmospheric science, geophysical fluid dynamics, tropical meteorology, climate dynamics
Marc Spiegelman
coupled fluid/solid mechanics, reactive fluid flow, solid earth & magma dynamics, scientific computation/modeling
Michael Weinstein
applied mathematics, partial differential equations, dynamical systems, waves in nonlinear, inhomogeneous & random media; multi-scale phenomena, applications to nonlinear optics, quantum systems and fluid dynamics
Chris Wiggins
applied mathematics, mathematical biology, biopolymer dynamics, soft condensed matter, genetic networks & network inference, machine learning