Walter Wang

Hong Kong, Hong Kong
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Summary

👤
Senior
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.
code8 years of coding experience
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Github Skills (15)

energy-efficiency10
modelica10
model-predictive-control7
openai-gym7
jekyll5
algorithms5
github-pages3
data-driven1
renewable-energy1
prediction-model1
machine-learning1
scale1
electricity1
energy1
consumption1

Programming languages (3)

ModelicaJupyter NotebookPython

Github contributions (5)

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This is the official repository of AlphaBuilding MedOffice: a realistic OpenAI Gym environment that can be used to train, test and benchmark controllers for medium size office (1AHU + 9VAV boxes)
Contributions:10 commits, 45 pushes, 1 branch in 2 months
openai-gym
This is the official repository of AlphaBuilding ResCommunity: a realistic OpenAI Gym environment that can be used to train, test and benchmark Thermally Controlled Loads (TCLs) coordination algorithms
Contributions:13 commits, 12 pushes, 1 branch in 8 months
openai-gym
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