Bing Shen

Bing Shen is a skilled postdoctoral researcher with experience at the University of California, Los Angeles since July 2015, leading a project focused on game recommendation for STEAM. Shen developed a recommendation system utilizing a popularity model and analyzed data from 5000 users and 500 games on Steam using natural language processing techniques. Prior to this role, Shen worked at Argonne National Laboratory from August 2012 to July 2015, where the focus was on developing a micro-Hall magnetometry sensor system. Educationally, Shen holds a Ph.D. in Condensed Matter and Materials Physics from the University of Chinese Academy of Sciences, complemented by postdoctoral studies in Physics at both Argonne National Laboratory and UCLA.