Summary
Zhe Wang is an associate professor and building-performance researcher who applies advanced control and machine learning to smart buildings, with eight years of experience spanning academia, national lab research, and international energy consulting. He transitioned from postdoctoral and project scientist roles at UC Berkeley and Lawrence Berkeley National Lab to faculty at HKUST, developing model predictive control and wearable personal comfort systems that bridge occupants’ needs and building energy optimization. His background combines a PhD from Tsinghua, an MPhil from Cambridge, and selection as an inaugural Schwarzman Scholar—an uncommon policy and leadership thread for a technical researcher. He has also advised urban-scale energy projects for the World Bank, giving him practical experience translating algorithms into city-level efficiency and renewables planning.
7 years of coding experience