FORMER TEAM MEMBERS & VISITORS

 

ALI KARAKUS

Post-doctoral Researcher @ Argonne National Lab

He is currently working as a postdoc on the CEED project.   His research interests include CFD, high-order methods, multiphase flows, polymer processing and scientific computing.

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NOEL CHALMERS

HPC Software Engineer @ AMD Research

Research interests include high-order continuous and discontinuous finite element methods, incompressible flows, preconditioning strategies, and parallel/algebraic multigrid methods.

KASIA SWIRYDOWICZ

Post-doc in the ExaWind Team @ National Renewable Energy Lab

Scientific interests: 

  1. 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.

  2. Scientific computing; GPU programming and code optimization.

JESSE CHAN

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.

RAJESH GANDHAM

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

Quantitative Software Engineer at Two Sigma & 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.


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

LinkedIn:   https://www.linkedin.com/in/dmed256/

Github:     https://github.com/dmed256

ZHENG WANG

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.

ARTURO VARGAS

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.

REID ATCHESON

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.

TIM MOON

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.

NICK POLIDORO

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).

TULIKA CHAUDHARY

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

DALLAS VIAR

Virginia Tech Summer Research Assistant

Dallas is a undergraduate majoring in Computer Science and Computational Modeling and Data Analytics at Virginia Tech.  He is interested in high performance computing and big data analytics.

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WEICHEN LI

Virginia Tech Summer Research Assistant

Weichen is an undergraduate majoring in Computational Modeling and Data Analytics. 

Summer research project: optimization of a GPU accelerated a  3D discontinuous Galerkin compressible Navier-Stokes solver.

CHRIS JURGENS

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.

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