Edward Y. Chang

Edward Y. Chang has been a pioneering figure in data-centric parallel machine learning since 2005. He currently serves as an adjunct professor in the Computer Science Department at Stanford University and is the Chief Technology Officer at AILLY.ai. Previously, Ed was the president of HTC Healthcare from 2012 to 2021. During his time at Google from 2006 to 2012 as a director of research, he led initiatives in scalable machine learning, indoor localization, Google Q&A, and recommendation systems. Ed's academic path includes his tenure as a full professor of Electrical & Computer Engineering at the University of California, Santa Barbara, from 1999 to 2006, after earning his MS in Computer Science and PhD in Electrical Engineering from Stanford University. From 2017 to 2020, he was a visiting professor at the EECS department at the University of California, Berkeley, focusing on surgery planning using virtual reality technologies. His contributions to machine learning and healthcare have been acknowledged with several awards, including the NSF Career award, the Google Innovation award, the US$1M Tricorder XPRIZE for AI in disease diagnosis, and the ACM SIGMM test-of-time award. Ed is a Fellow of both ACM and IEEE, recognizing his contributions to scalable machine learning and healthcare.