I am a Computational Mathematician in Laboratory for Applied Mathematics, Numerical Software, and Statistics, Mathematics and Computer Science Division at Argonne National Laboratory, and a Senior Scientist at-Large at the University of Chicago Consortium for Advanced Science and Engineering. My research focuses on foundation models, agentic AI and LLM multi-agent systems, privacy-preserving federated learning, and large-scale optimization on high-performance computing systems and GPUs for scientific discovery. I lead Argonne’s foundation-model and agentic-AI programs, including LUMINA (topology-transferable foundation models), GridMind (multi-agent LLM workflow), and APPFL (privacy-preserving federated learning framework), applied to areas including electric grid systems, healthcare, and key scientific domains of interest to the Department of Energy. Before joining Argonne, I obtained a Ph.D. degree in Industrial Engineering and Management Sciences from Northwestern University (my academic tree). I am a recipient of DOE Early Career Research Program award. I serve as associate editors in Mathematical Programming Computation and Naval Research Logistics and board members for COIN-OR Foundation and IISE Energy Systems.

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