FORMER TEAM MEMBERS & VISITORS
Assistant Professor @ Naval Postgraduate School
He is currently an Assistant Professor of Applied Mathematics at the Naval Postgraduate School. His research interests include spectral methods, approximation theory, ChebFun, CFD, numerical linear algebra, preconditioning, finite element analysis, time-stepping.
Assistant Professor of Mechanical Engineering @ Middle Eastern Technical University
His first position after leaving VT was as a postdoc on the CEED project.
His research interests include CFD, high-order methods, multiphase flows, polymer processing and scientific computing.
Post-doc in the ExaWind Team @ National Renewable Energy Lab
Krylov subspace methods and Krylov subspace recycling; efficiency and effectiveness of Krylov subspace solvers and preconditioners; applications of Krylov subspace methods to engineering problems, such as CFD codes, topology optimization.
Scientific computing; GPU programming and code optimization.
Assistant Professor of Computational and Applied Mathematics @ Rice University
Jesse's research focuses on the accuracy, efficiency, and stability of high order numerical methods for wave propagation and fluid dynamics. He is also interested in high performance computing on accelerator architectures such as Graphics Processing Units.
Computational Scientist at Stone Ridge Technology
Rajesh focuses on developing ECHELON, a high-performance simulation software for petroleum reservoir modeling.
Rajesh received his Ph.D. in Computational and Applied Mathematics at Rice University. For his Ph.D., he developed high-order and high-performance discontinous Galerkin methods for simulating tsunami waves.
DAVID S. MEDINA
Senior Software Engineer at Brex.com & Contractor with Lawrence Livermore National Lab (LLNL)
David received his Ph.D. in Computational and Applied Mathematics from Rice University. He then joined Two Sigma, where he works on tooling and analysis of large non-conventional datasets. Currently he is working in NYC as a senior software engineer.
David is also part of the Center for Efficient Exascale Discretizations (DOE) initiative which aims to produce distributed next-generation software for high-order numerical methods. He is actively developing OCCA and use the library to enable heterogeneous computing on CEED applications
Software Engineer at Google
Zheng works for the Google platform team and focuses on developing internal network tools and backend servers that facilitate chip design procedure.
During his PhD studies at Rice University he developed GPU-accelerated discontinuous Galerkin methods for seismic imaging.
Computer Scientist at Lawrence Livermore National Lab
Arturo contributes to the C++ RAJA framework which enables cross-architecture portability. In addition, he works on optimizing multi-physics codes for next generation computer architectures.
Arturo studied for his Ph.D. in Computational and Applied Mathematics at Rice University under the direction of Tim Warburton and Adrianna Gillman and was an NSF graduate fellow. His dissertation focused on the development of numerical methods based on Hermite interpolation and their implementation on GPUs.
Accelerator Software Engineer at the Numerical Algorithms Group (NAG)
Reid pursued his graduate studies on the topic of high order numerical wave propagation and its implementation on graphics processing units.
Reid's current role is to help clients make decisions in the whole pipeline of scientific computation, from choice
of underlying algorithm to choice of which computing architecture to invest in.
Data Scientist at Lawrence Livermore National Lab
As an undergraduate at Rice University, Tim Moon worked with Dr. Warburton on his senior thesis project: "A GPU-accelerated simulation of laser therapy for brain cancer".
After receiving an M.S. in Computational and
Mathematical Engineering from Stanford University, Tim joined Lawrence Livermore National Laboratory. He is currently pursuing interests in deep learning, numerical linear algebra, and scalable algorithms.
Undergraduate Research Assistant
Virginia Tech Summer Research Assistant
Nick is an undergraduate pursuing a Math major and Computer Science minor @VT.
Summer research project: optimization of a GPU accelerated Boltzmann gas kinetic flow solver with discontinuous Galerkin spatial discretization & Galerkin velocity space discretization (see arXiv preprint for details).
Undergraduate SummerResearch Assistant
Virginia Tech Summer Research Assistant
Tulika is a Computational Modeling and Data Analytics major graduating in December 2018 with minors in Computer Science and Language and Literature. She is interested in what any given set of data has to offer and the most rhetorically effective means of conveying that information.
Summer research project: optimization of a GPU accelerated compressible Navier-Stokes with discontinuous Galerkin discretization
Undergraduate Summer Research Assistant
Chris is an undergraduate majoring in Computational Modeling and Data Analytics and minoring in Computer Science. His main interests are code performance optimization and discerning information from large data sets.
Summer research project: Optimization of a gpu accelerated high order Boltzmann Navier-Stokes flow solver.