Staff Pages

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...

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...

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...

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...

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

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,...

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...

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...

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...

Cognitive & Emerging Computing. Cale Crowder is a Postdoctoral Appointee in Cognitive and 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...

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

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...

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,...

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. Most recently, I have worked in "big data" areas, including streaming, complex (social) network analysis, and trajectory analysis...

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,...

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...

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...

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...

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 feature size, at which point any further reduction of their sizes will likely become impractical and even impossible due to the thermal...

Optimization & Uncertainty Quantification. See my expanded staff site.

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)...

Computational Mathematics. Biography I'm a Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia National Laboratories in Albuquerque, NM. My research focus is on simulation of multiphysics PDEs, advanced analysis techniques, scalable algorithms and scientific machine learning. Education PhD Computer Science, University of Illinois at...