Ming Yi is a postdoctoral research scientist in Data Science Institute at Columbia University. He received his Ph.D. degree in Electrical Engineering from Rensselaer Polytechnic Institute in 2022. He was an intern at the Argonne National Laboratory. He received a M.S. degree in Control Science and Engineering from the Harbin Institute of Technology in 2018 and a B.E. degree in Automation from Harbin Engineering University in 2016. His current research focuses on machine learning, energy storage, power system economics, and resilience.

Ning Qi is a postdoctoral research scientist in Earth and Environmental Engineering at Columbia University. He received his Ph.D. degree in Electrical Engineering from Tsinghua University in 2023. Before joining Columbia, he was a postdoc at the Digital Power System (DPS) lab in the Department of Electrical Engineering, Tsinghua University. He was a visiting scholar at Technical University of Denmark in 2022. He received a B.E. degree in Electrical Engineering from Tianjin University in 2018. His current research focuses on data-driven modeling, optimization under uncertainty, and market design for generic energy storage.

Liudong Chen received his B.S. and M.S. degrees in Electrical Engineering from North China Electric Power University, Beijing, China. Before joining Columbia, he was a research assistant at the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China. His research interests include energy system economics and optimization and social behavioral modeling.

Zhiyuan Fan received his M.S. degree from Columbia University Mechanical Engineering and worked as a research associate at the Center on Global Energy Policy. His research focuses on transitional energy infrastructure analysis using energy system modeling tools, especially energy infrastructure in supporting carbon-neutral economic development. He is also an active member of the Energy System Modeling Program at the Center on Global Energy Policy (CGEP), SIPA, Columbia University.

Saud Alghumayjan received his B.Sc. degree in Electrical Engineering from King Saud University in 2018 and his M.S. degree in Electrical Engineering from Columbia University in 2022. Before joining Columbia University, he worked at the Center for Complex Engineering Systems at KACST and MIT as a Research Specialist where he tackled various problems related to power systems such as Electricity Fraud Detection and Time-series Forecasting. Saud's research interests are in the areas of machine and statistical learning, optimization, and computational modeling.

Elizabeth Cohn (joint with Upmanu Lall) received her B.S. degree in Electrical Engineering and Mathematics from Johns Hopkins University in 2020. Before joining the PhD program at Columbia University, she worked as a data scientist for Optum where she created AI/ML solutions to improve their health service offerings. Eliza's research interests include renewable energy, the power grid, water systems, and methods to design equitable management strategies for the water-energy nexus in the face of climate change.

Yousuf Baker received his B.Sc in Electrical Engineering from Boston University in 2021 and his M.S. degree in Electrical Engineering from Columbia University in 2022. Prior to returning for his PhD, Yousuf acted as Project Lead of a research team at the Dubai Future Labs and was a research assistant with the Bolun Xu Group. His focus is on power system economics and on the intersection of optimization, controls, and statistical learning methods for high-renewable energy systems.

Emily Logan received her B.S. and M.Eng. degrees in Mechanical Engineering from Cornell University. Before joining Columbia University, she worked as a Mechanical Design Engineer at Tesla, focusing on large-scale battery storage systems and electric vehicle chargers. Emily’s research interests include renewable energy, energy storage, and the power grid.

Justin Clarke, hailing from Jamaica, is an undergraduate research assistant at Columbia University, studying Computer Science with a focus on AI/ML and minoring in Psychology, and is a distinguished C.P. Davis Scholar. He worked with the Jamaica Constabulary Force’s Technology Branch on innovation strategies and also tutors mathematics. Justin holds leadership positions in campus residential communities and cultural organizations, promoting inclusion and engagement.

Yuxin Ma is a visiting student in Earth and Environmental Engineering at Columbia University. She received her B.S. degree in Electrical Engineering from Tsinghua University in 2021, where she is now pursuing her Ph.D. degree. Her research interests include optimal frequency control of power systems and optimal operation of energy storage systems.