ÂÜÀòÂÒÂ×

Haixia Li is a Senior Data Scientist at Kantar since February 2022, where key contributions include the development of Go Bright/Go Dark Propensity models and the execution of data collection and transformation processes to ensure high-quality analysis. Previously, at Berkeley Lab from May 2018 to February 2020, Haixia led the creation of a Potential Catalyst Detector for hydrogen production while developing a 3-layer neural network model that identified twenty candidates through predictive modeling. Prior experience as an Assistant Research Scientist at Texas A&M University, from August 2012 to February 2018, involved leading a team to optimize workflow and building a Reaction Product Predictor. Haixia Li holds a PhD in physical chemistry (computational chemistry) from the Graduate University of the Chinese Academy of Sciences and a Bachelor's degree in Applied Chemistry from Shandong Normal University.