Fushan Li

Fushan Li is a skilled Machine Learning Engineer with a solid background in developing algorithms and models across multiple high-profile companies. Currently at DoorDash, Fushan is focusing on consumer-facing search technologies. Previously, at Twitter, Fushan contributed to building spam detection models, while at Amazon, regression models were developed to optimize product pricing through catalog data analysis. Fushan's research experience includes a role as a Research Assistant at the Alberta Machine Intelligence Institute, during which Fushan published a paper at NeurIPS 2019 and participated in a workshop. Earlier internships at IBM and SAP provided valuable experience in natural language processing and web development. Fushan holds a Master’s degree in Computer Science from the University of Alberta, specializing in Deep Learning and Reinforcement Learning, and a Bachelor's degree in Computer Science from Southeast University.