C2 Members have a variety of backgrounds and experiences.
Rather than contacting individual members directly, please email the group in all correspondence: c2questions@lists.stanford.edu
Steven Brill
Interests: Computational fluid dynamics, higher order methods for numerical PDEs, and high performance computing.
Anjan Dwaraknath
Interests: Numerical Linear Algebra, Optimization, Partial Differential Equations
Ryan Aronson
Interests: Numerical analysis, numerical PDEs, finite elements, computational mechanics
Ryan Humble
Interests: Numerical linear algebra, high performance computing, numerical analysis
Fred Lam
Interests: Optimization, computational physics, numerical methods
Brad Nelson
Interests: Numerical Linear Algebra, Structured Matrices, Partial Differential Equations, Fast Algorithms for Scientific Computing
Faculty: Margot Gerritsen
Margot Gerritsen's main interest is the design and analysis of efficient numerical solution methods for partial differential equations that arise in fluid dynamics. Her PhD thesis work emphasized mathematical techniques. Since, her focus has shifted to using such techniques for actual engineering applications.
Faculty: Michael Saunders
Saunders develops mathematical methods for solving large-scale constrained optimization problems and large systems of equations. He also implements such methods as general-purpose software to allow their use in many areas of engineering, science, and business. He is co-developer of the large-scale optimizers MINOS, SNOPT, SQOPT, PDCO and the linear equation solvers SYMMLQ, MINRES, MINRES-QLP, LSQR, LSMR, and LUSOL. Stanford Engineering profile
Faculty: Reza Zadeh
Reza Zadeh focuses on discrete applied mathematics, machine learning theory and applications, and large-scale distributed computing. He has built large-scale distributed algorithms for the singular value decomposition on Spark, built the machine learning behind Twitter's who-to-follow system, and created other large-scale distributed machine learning systems.
