Xiaojun Fu

Xiaojun Fu is an accomplished professional with a strong background in applied science and engineering, holding a PhD in Physics from the University of Minnesota. Experience includes working as an Applied Scientist at Amazon, where modeling pipeline simplifications for buyer payment risk systems was a focus. As a Research Assistant at the University of Minnesota, contributions were made to studies on quantum magneto-transport in 2D materials. Currently, Xiaojun Fu works as a Software Engineer at Meta, specializing in community product ranking. Additionally, a Data Scientist internship at UnitedHealth Group involved developing autoencoders and neural networks to assess individual socioeconomic status scores in the US.