Nan D.

Nan D. possesses extensive experience in research and engineering, with a focus on algorithms, data structures, and machine learning. Nan D. served as a Teaching Assistant at Michigan State University, contributing to the CSE 331 course, and held several positions at Meta and Facebook, including Senior Research Scientist and Staff Research Scientist, where research concentrated on Facebook Marketplace platform ranking and feed relevance. Prior research roles include internships and assistantships at Michigan State University and various organizations, including IBM and the Chinese Academy of Sciences, specializing in diverse fields such as profile homology search tools and ultrafast optics. Nan D. is an active participant in Kaggle competitions, achieving notable rankings and gold medals. Academic qualifications include a Bachelor's in Physics from Fudan University and both a Master's and a Ph.D. in Computer Science and Engineering from Michigan State University.