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Ziyan Li is a PhD student at the Center for Transportation & Logistics, working in the Deep Knowledge lab advised by Dr. Elenna Dugundji. She collaborates with the MIT Energy Initiative on the optimization of electric vehicle (EV) charging networks and operations. Her research interests include stochastic optimization, dynamic programming, and reinforcement learning for supply chain network design.
Ziyan received MASc in Supply Chain Management from MIT in 2024 and has professional experience in global logistics operations and demand planning across medical equipment, apparel, and furniture industries.
