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Wenqi Cui is an Assistant Professor at NYU Tandon School of Engineering, specializing in the intersection of control, machine learning, reinforcement learning, and optimization within sustainable power energy systems. With a PhD from the University of Washington, and postdoctoral experience at Caltech, Cui has developed fundamental theories and algorithms to tackle challenges in decarbonizing energy systems while providing safe and robust AI-based solutions for real-world applications. His efforts have garnered several prestigious awards, including the Pioneer Postdoctoral Fellowship and Rising Stars recognition in both EECS and Cyber-Physical Systems. He is committed to mentoring self-motivated PhD students and postdocs, with new opportunities available starting in Fall 2025. Cui's research interests encompass power energy systems, control, optimization, machine learning, and reinforcement learning, reinforcing his commitment to pioneering advancements in these critical fields.
California Institute of Technology • California
Postdoctoral research in power energy systems and machine learning.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.