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 doctoral research focused on first-principles modeling of ion-irradiated surfaces and 2D materials, where her contributions enabled predictive calculations of ion-induced electron emission, uncovered new surface physics, and offered insights for ion beam materials...
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 joined Sandia as a postdoctoral appointee in 2019 and became a staff member at the Center of Computing Research since 2020. He has a wide research interest, including optimization, machine learning, and uncertainty quantification methodologies for multiscale computational materials science applications. Education Ph.D., Mechanical Engineering,...
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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 M. Adams
Optimization & Uncertainty Quantification. Biography Brian has worked at Sandia since 2005.  He is currently a principal member of technical staff in the optimization and uncertainty quantification department.  Brian develops, implements, and applies algorithms for optimization and uncertainty quantification on computational models.  He leads the Dakota software project, managing software development...

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
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 impact a...

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,...

Daniel Z. Turner
Optimization & Uncertainty Quantification. Biography Dan manages the Optimization & Uncertainty Quantification Department at Sandia. This department provides leadership in the research, development, and application of scientific optimization and UQ algorithms and software (design optimization, parameter estimation, uncertainty quantification, and sensitivity analyses). This department also maintains partnerships at many levels...

Danny Dunlavy
Machine Intelligence and Vis. Danny Dunlavy is a Distinguished Member of Technical Staff in the Machine Intelligence and Vis Department of the Center for Computing Research at Sandia National Laboratories in Albuquerque, NM. His research interests include numerical optimization, numerical linear algebra, machine learning, data mining, tensor decompositions, graph algorithms, text analysis, parallel computing, and...

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...
Results 1–25 of 101