Ed Huai-Hsin Chi (Chinese: 紀懷新; Wade–Giles: Chi⁴ Huai²-hsin¹) (born c. 1973) is a Taiwanese American computer scientist and research scientist at Google, known for his early work in applying the theory of information scent to predict usability of websites.
[citation needed] Born and raised in Taipei, Taiwan, Chi moved to Minnesota in the 9th grade.
In 2011, he left PARC and became a research scientist at Google, reporting directly to Peter Norvig in the areas of human-computer interaction and social computing.
In his spare time, Chi is an avid golfer, Taekwondo black belt, photographer, and snowboarder.
[10] He was named to the 2022 class of ACM Fellows, "for contributions to machine learning and data mining techniques for social computing and recommender systems".