Yuting Chen is a Staff Data Scientist in the Energy Efficiency Studies Department at Lawrence Berkeley National Laboratory, focusing on data-driven modeling to enhance efficient energy use. With a robust background in consumer choice modeling and data analytics, Yuting has developed models to assess market transformation and support energy efficiency rule-making. Prior to this role, Yuting conducted a PhD research on Bayesian Inference in Plant Growth Models at Ecole Centrale Paris, and served as a teaching assistant for various statistics and mathematical modeling courses. Earlier experience includes internships as a Statistical Analyst and Software Developer, contributing to research on infection prevalence and quantitative analysis of microscopic images. Yuting holds a PhD in Applied Mathematics from CentraleSupélec, a Master's degree in Biostatistics and Bioinformatics from Université Claude Bernard Lyon 1, and a Master of Engineering in Biostatistics and Modelling from INSA Lyon.
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