Summary
Rongxin Yin is a senior scientific engineering associate at Lawrence Berkeley National Laboratory with nine years of experience at the intersection of energy systems, controls, and software. He specializes in network and communication standards for demand response and distributed energy resources, and led technical support for California utilities’ AutoDR/OpenADR deployments from 2012–2017. Rongxin develops optimization and control algorithms for buildings, EVs, and battery storage, and brings practical machine learning and data-modeling expertise to V2G and grid-integration problems. He is proficient in Python, R, MySQL, Git, and cloud/Big Data tooling (AWS, Hadoop/MapReduce) as well as TensorFlow/Keras for algorithm deployment. Based in Berkeley, he blends deep academic training in building science with hands-on field deployments, often turning simulation-driven research into production-ready control strategies.
9 years of coding experience
3 years of employment as a software developer
Master of Science (MS), Building Science, Master of Science (MS), Building Science at University of California, Berkeley
Master, Building Energy Efficiency, Master, Building Energy Efficiency at Tongji University
Bachelor, Heating, Ventilation and Air-Conditioning, Bachelor, Heating, Ventilation and Air-Conditioning at Xi'an University of Architecture and Technology (XAUAT)
English, Chinese