Develops geospatial predictive models and geospatial data science tools to study climate and environmental related phenomena and their impacts in nature. Develop data management and data integration frameworks for data and metadata to enable FAIRification.

Develop data analysis techniques, tools, and pipelines for high dimensional datasets in materials science such as synchrotron XRD, XCT, and advanced manufacturing to reveal insights, and correlations and improve predictive modeling leveraging deep learning, artificial intelligence, and statistical methods.

Materials Data Science, Advanced Manufacturing, Synchrotron Data Analysis, Image Processing, Deep Learning, Artificial Intelligence, Uncertainty Quantification, Atomistic Simulation

Tom has been with Eaton since 2001.  He started his career with Eaton in Seattle Washington and spent 11 years in various sales roles as a distributor sales specialist and serving in the construction, Industrial, and OEM markets.  Tom left the Northwest and moved to Wisconsin in 2010 to work with Eaton’s Industrial Control Division as a product manager for variable frequency drives.  In 2013 Eaton acquired Cooper and Tom moved into a regional marketing manager role as part of the Cooper Sales Integration team.  Following his three years on the integration team, Tom moved back to the Industrial Control Division to take the division marketing manager role and was responsible for driving the divisions sales initiatives, channel growth, price attainment, and marketing communications.  In 2018 Tom moved into the services sales organization as the central region director of sales and added the responsibility of Eaton’s national service account sales organization in 2022.  In 2023 Tom moved into his current role. 

Leah Rubin Shen oversees legislative, political, and regulatory engagement in the Western region of the United States for Advanced Energy United, a national business association representing the full range of advanced energy technologies and services, both grid-scale and distributed. Prior to joining Advanced Energy United, Leah worked for U.S. Senator Chris Coons (D-DE) as a AAAS/ACS Science & Technology Policy Fellow and then as his lead advisor on energy, environment, and science policy. Leah started her career as a chemist and holds a Ph.D. in chemistry from the University of California, Berkeley, where she studied the electrochemistry of new materials for fuel cells, and a B.A. in chemistry and music from Case Western Reserve University.

Director of the Energy Processes and Materials Division in the Energy & Environment Directorate at Pacific Northwest National Laboratory

Computer Vision; 3D Vision; Generative Models; Multi-modal Learning

Data mining, machine learning

• Trustworthy AI: explanation, fairness, robustness, generalization
• Causality: causal inference, causal ML
• Graph mining: graph neural networks, graph foundation models
• AI for social good: science, healthcare, etc.
• LLM: explanation/causality/safety/ethics in LLMs, LLM applications

 Personal website: https://jma712.github.io/