Yuan Deng is a Research Scientist at Google Research New York City. His research is broadly situated at the interface between economics and computer science (aka. algorithmic game theory), mainly including dynamic mechanism design (how to design auctions for online advertisement markets) and learning in economic environments (e.g. online pricing for strategic agents and/or learning agents). He received a bachelor's degree in Computer Science (2015) from Tsinghua University and a Ph.D. in Computer Science (2020) from Duke University advised by Prof. Vincent Conitzer. See his personal webpage https://sites.google.com/corp/view/yuandeng for more details on his publications.