Heinrich Jiang

Heinrich Jiang is a Research Scientist at Google, based in Mountain View, California. He joined Google as a Software Engineer in July 2016 and transitioned to his current role as a Research Scientist in January 2018.2 Jiang's research focuses on machine learning and artificial intelligence, with particular emphasis on topics such as fairness in AI, classifier trust, and optimization.12

Jiang holds an A.B. in Mathematics from Princeton University, where he graduated summa cum laude in 2015.2 Prior to joining Google, he worked as a Trader at KCG Holdings, Inc. and held internships at companies like Jump Trading, LLC and Facebook.2

His academic achievements include winning a Bronze Medal at the International Mathematics Olympiad (IMO), qualifying for the USA Computing Olympiad (USACO) Gold Division, and placing in the top 30 of the USA Mathematics Olympiad (USAMO).2

As a researcher, Jiang has published numerous papers in prestigious conferences and journals, with his work receiving significant citations. Some of his notable publications include "To trust or not to trust a classifier" and "Identifying and correcting label bias in machine learning".1