The Industry Connection Series features interactive panels with
mathematical scientists working in industry. The goal is to connect
mathematical sciences students directly with industry members who can
answer student-generated questions. Students at all levels are welcome and encouraged to attend and ask questions. 

The next event is Wednesday, February 19th, 2025, at 1:00 PM EST, focusing on connecting students to professionals who work in National Laboratories. Panelists will be Dr. Tucker Hartland, postdoctoral researcher in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory, Dr. Erin C.S. Acquesta, Mathematician and Principal Member of the Technical Staff with the Applied Information Sciences Center at Sandia National Laboratories, and Dr. Aaron Luttman, Mathematician at Pacific Northwest National Laboratory (PNNL).

Tucker Hartland is a postdoctoral researcher in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. Tucker’s work focuses on scalable algorithms for nonlinear optimization and nonlinear solvers with underlying partial differential equation (PDE) problem structure for large-scale parallel computations, such as in PDE-constrained optimization and contact mechanics. Tucker obtained a Ph.D. in Applied Mathematics from the University of California, Merced in 2022 under the supervision of Dr. Noemi Petra, with a thesis on hierarchical algorithms for inverse problems governed by PDEs. Before that, he earned a B.S. in Physics and Applied Mathematics from California State University, Chico in 2016.

Erin C.S. Acquesta is a Mathematician and Principal Member of the Technical Staff with the Applied Information Sciences Center at Sandia National Laboratories. She received her MS and PhD from North Carolina State University in the field of applied mathematics. Her research areas of interest include scientific machine learning, uncertainty quantification, sensitivity analysis, and machine learning explainability; with an emphasis on providing credible, adaptive, and interpretable modeling capabilities for enhanced situational awareness in support of national security decision-making.

Aaron Luttman is a Mathematician at Pacific Northwest National Laboratory (PNNL), where he focuses on bringing mathematical solutions to national security missions. After obtaining B.S. and M.S. degrees in Mathematics, he began his career working for a startup company, developing algorithms for computational projective geometry. Aaron then returned to school, attending the University of Montana and receiving his PhD in Mathematics, with research in both commutative Banach algebras and using partial differential equations for image processing. Since then, his career has spanned time as a university professor, a mathematical researcher, a manager of both people and programs, and a technical advisor to the US Department of Energy in Washington D.C. The mathematical topics of his work span statistical modeling of large-scale inverse problems, multi-sensor analytics and data fusion, optimization, adversarial machine learning, and explosives-driven physics experiments. These days he spends most of his time supporting PNNL’s national security programs in artificial intelligence, working with a variety of government entities on establishing the government’s role in AI, and also recruiting student interns and staff to the national laboratories.

Register for the event here: Connections in Industry – Department of Energy National Laboratories

Here is a shareable flyer for the event!

The BIG Math Network is grateful for sponsorship by the American Mathematical Society (AMS), the American Statistical Association (ASA), the Institute for Operations Research and the Management Sciences (INFORMS), the Mathematical Association of America (MAA), and the Society for Industrial and Applied Mathematics (SIAM).