Walter Wang

Hong Kong, Hong Kong
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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.
code7 years of coding experience
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Github Skills (15)

renewable-energy10
energy10
energy-efficiency10
modelica10
predictive8
model-predictive-control7
mpc7
jekyll5
machine-learning4
github-pages2
data-driven1
prediction-model1
scale1
electricity1
consumption1

Programming languages (2)

ModelicaPython

Github contributions (5)

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Contributions:10 commits, 45 pushes, 1 branch in 2 months
Contributions:13 commits, 12 pushes, 1 branch in 8 months
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Walter Wang