Staff Pages

Results 1–25 of 101

Alina Kononov

Quantum Computer Science. Alina develops and applies cutting-edge methods to model excited electron dynamics in materials. Her current projects involve advancing modeling capabilities for warm dense matter and exploring prospects of early fault-tolerant quantum computing for simulating excited electrons. Previously, her doctoral research focused on first-principles modeling of ion-irradiated surfaces...
Alina Kononov

Allen C. Robinson

Computational Multiphysics. Biography Dr. Allen C. Robinson is a distinguished member of the technical staff at Sandia National Laboratories. Since starting work at Sandia in 1983 his interests have included shaped charge modeling and subsonic jet flow, Rayleigh-Taylor instability in solids and parallel computing for shock physics modeling. He has...

Andrew G. Salinger

Computational Sciences & Math. Biography My research involves the integration of technologies to build application codes for the solution and analysis of systems governed by partial differential equations. Currently, my main focus is promoting the software modernization of E3SM, DOE's Earth system model, to improve the quality of the model...

Andrew J Younge

Scalable System Software. Biography Andrew J. Younge is the R&D Manager of the Scalable Computer Architectures department at Sandia National Laboratories. His research interests include high performance computing, virtualization & containers, distributed systems, and energy efficient computing. Andrew currently serves as the PM of Sandia's Vanguard program and contributor to Astra, the...
Andrew J Younge

Andrew Michael Bradley

Computational Science. Biography I develop and analyze numerical methods and software to solve problems in engineering and science. Publications

Anh Tran

Scientific Machine Learning. Biography Anh Tran joined Sandia National Laboratories (Albuquerque, NM) as a postdoctoral appointee in January 2019 and became a staff member at the Center of Computing Research since September 2020. He has worked at the Uncertainty Quantification and Optimization department, as well as the Scientific Machine Learning...
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Ann Speed

Cognitive & Emerging Computing. Biography I have been doing research on how to make analysts more effective for several years - mostly in the visual search domain by conducting human subjects experiments in what I call "near operational" environments. I'm also increasingly interested in the overlap, and gap, between laboratory-based...

Anthony Gruber

John von Neumann Fellow. Biography I am a mathematician interested in basic and applied research questions that arise in the contexts of data science, nonlinear partial differential equations, and scientific machine learning.  Lately, my focuses are primarily on (1) developing structure-informed surrogate models for the efficient approximation of large-scale systems,...

Bart G van Bloemen Waanders

Scientific Machine Learning. Biography Bart's research interests are PDE-constrained optimization and uncertainty quantification with a focus on complex applications such as fluid flow, geoscience, electromagnetic, and mechanics. He is co-developer of the Multi-physics/scale Interface for Large scale Optimization (MILO) and the Hyper-Differential Sensitivity Analysis library (HdsaLib). Formerly a Petroleum engineer...

Bernadette M. Watts

Center 1400 Business Office. Biography Business Lead for Computational Sciences & Math, Group 1440 Optimization & UQ - Dept. 1441 Computational Mathematics, - Dept 1442 Computational Multiphysics - Dept 1443 Multiscale Science - Dept 1444 Multiphysics Applications - Dept 1446

Brad Theilman

Postdoctoral Appointee. Biography Bradley Theilman is a postdoctoral appointee at Sandia National Laboratories. His research focuses on applying neuroscientific principles to neuromorphic computing. He earned a Ph.D. in computational neuroscience in 2021 from UC San Diego, where he worked on topological approaches to understanding neural population activity in the auditory...

Brian Neal Granzow

Computational Multiphysics. Biography Brian received a Ph.D. in mechanical engineering from Rensselaer Polytechnic Institute and a B.S. in applied mathematics from the University of New Mexico. His research interests include developing numerical algorithms and software for predictive simulation on next-generation architectures, a posteriori error estimation in finite element analysis, unstructured...

Cale Crowder

Cognitive & Emerging Computing. Cale's research at Sandia National Laboratories focuses on applying machine learning and reinforcement learning techniques to solve many different problems including: Design of microelectronicsDesign of neuromorphic computersCooperative problem solving by multiple agents operating in the same environmentSimulating how international disinformation campaigns affect nuclear deterrence foreign policy...

Carl Pearson

Limited-Term Employee. Biography Carl Pearson is an LTE in the Scalable Algorithms group at Sandia National Labs and a Research Assistant Professor (LAT) of Computer Science at University of New Mexico. He works on future architectures for scientific computing, GPU communication for distributed linear algebra, and GPU acceleration of irregular...

Christopher Siefert

Scalable Algorithms. Chris' main Sandia website can be found at: www.sandia.gov/-csiefer/

Corinne Teeter, PhD

Principal Member of the Technical Staff. Biography “What I cannot create, I do not understand”. -- Richard Feynman Corinne is driven to discover and understand the basic principles of complex computation and intelligence. Her research lies at the intersection of neuroscience and technology. As a Principal Member of the Technical...

Courtenay T. Vaughan

Scalable Computer Architecture. Biography My current research interests include performance modeling and analysis, code optimization, and characterization of current high performance computing (HPC) platforms. As a member of the Application Performance Modeling and Anaylsis Team, we are using the knowledge of current architectures to predict performance of future machines and...

Craig M. Vineyard

Computer Scientist. Biography Craig M. Vineyard, PhD has degrees in computer engineering with expertise in machine learning and neuromorphic computing. He has been at Sandia National Laboratories for over 15 years pursuing computing research and development for national security. This includes performing foundational research on how advanced computing technologies can...

Curtis C. Ober

Computational Science. Biography Curt has extensive experience with seismic imaging, full-waveform inversion, verification, time-integration, and discontinuous Galerkin methods. Additionally, he has a diverse background in computational dynamics, including computational fluid dynamics in the areas of Shock physicsSupersonic and hypersonic flowSupersonic wakes Education 1/1991-5/1994 University of Texas at Austin, Austin, Texas,...

Cynthia Ann Phillips

Computing Research. Biography I have historically worked in combinatorial optimization, algorithm design and analysis, and parallel computation with elements of operations research. My work has spanned theory, general solver development, and applications. I still work in combinatorial optimization. More recently, I have worked in "big data" areas, including streaming, complex...

Daniel Thomas Seidl

Scientific Machine Learning. Biography Tom has been at Sandia National Labs since January 2016. He develops computational methods in the areas of PDE-constrained optimization, finite elements, and uncertainty quantification. Education Ph.D. Mechanical Engineering, Boston University, August 2015 M.S. Mechanical Engineering, Boston University, May 2012 B.S. University of Rochester, Biomedical Engineering,...

David Littlewood

Computational Multiscale. Biography I am the manager of the Computational Multiscale Department (Org. 1444) in the Center for Computing Research at Sandia National Laboratories. My managerial role and technical background are in the development, implementation, and application of multiscale, multiphysics techniques for materials modeling and computational solid mechanics. I am...

Denis Mamaluy

Cognitive & Emerging Computing. Biography The CMOS technology is famously approaching its scaling limit: within the next decade or so, nano-scale FET transistors will reach the sub 5-nm physical gate lengths, at which point any further reduction of their sizes will likely become impractical and even impossible due to the...

Denis Ridzal

Optimization & Uncertainty Quantification. See my expanded staff site.

Drew Philip Kouri

Optimization & Uncertainty Quantification. Biography Drew's research interests include: PDE-constrained optimization, algorithms for solving risk-averse and robust PDE-constrained optimization problems, adaptive sampling and quadrature methods for risk-averse optimization, general frameworks to handle inexactness and model adaptivity in optimization. Drew is also a lead developer of the Rapid Optimization Library (ROL)...
Results 1–25 of 101