Chao Ding

Chao Ding is an experienced Energy Technology Researcher at Berkeley Lab, where responsibilities include leading the design of high efficiency, low cost, and low Global Warming Potential (GWP) cooling equipment. Prior roles at Berkeley Lab include Project Scientist and Postdoctoral Researcher, with a focus on urban infrastructure and energy modeling. Expertise encompasses machine learning, energy analysis, and technical simulations for air conditioning systems. Previous positions include Data Scientist Consultant at View, Inc., and various academic roles at Carnegie Mellon University, including teaching and research assistantships focused on building performance. Chao Ding holds a Ph.D. in Building Performance and Diagnostics and multiple degrees in Mechanical Engineering and HVAC disciplines from prestigious institutions.