Mingxuan Han

Mingxuan Han is a skilled Research Scientist specializing in Machine Learning at Meta, with a robust background in data analysis and quantitative research. Prior experience includes roles as a Quantitative Analyst Intern at Reams Asset Management, where responsibilities encompassed data validation and model development in R, and as Senior Research Scientist at Facebook, contributing to the training stability of distributed systems. Mingxuan's experience at Meta involved participation in various bootcamp projects focused on marketplace scam detection and machine learning model migration. Additional professional engagements include work as a Data Scientist Intern and Software Engineer Intern, implementing advanced models to address signal loss in advertising contexts. Mingxuan holds a PhD in Computer Science from the University of Utah, a Master’s in Statistics from the University of Minnesota-Twin Cities, and a Bachelor of Science from Purdue University.