Adjunct Professor / Stanford University

Edward Y. Chang is an adjunct professor in the Computer Science Department at Stanford University (since 2019) and co-editor-in-chief of ACM Books (since December 2025). He previously served as president of HTC DeepQ Healthcare (2012–2021) and as director of research at Google (2006–2012), where he pioneered scalable machine learning, Web-scale image annotation (2008), and data-centric AI (2010), and sponsored the ImageNet project. He was a visiting professor at UC Berkeley (2017–2020), working on surgical planning with virtual reality, and earlier held a tenured faculty position in Electrical and Computer Engineering at UC Santa Barbara (1999–2006). Chang earned his M.S. in Computer Science and Ph.D. in Electrical Engineering from Stanford University. He is a Fellow of both ACM and IEEE for his contributions to scalable machine learning and AI in healthcare. His honors include the NSF CAREER Award, the Google Innovation Award, the ACM SIGMM Test of Time Award, and the US$1 million XPRIZE for AI-driven disease diagnosis.

張智威現任史丹佛大學電腦科學系客座教授（2019 年起）與 ACM Books 共同總編輯（2025 年 12 月起）。他曾任宏達電 DeepQ 醫療健康事業總裁（2012–2021），以及 Google 研究總監（2006–2012）；任職 Google 期間，他在可擴展機器學習、網路規模影像標註（2008）與以資料為中心的人工智慧（2010）等方向率先投入研究，並促成對 ImageNet 專案的贊助。他曾任加州大學柏克萊分校訪問教授（2017–2020），從事虛擬實境手術規劃研究；更早之前則在加州大學聖塔芭芭拉分校電機暨計算機工程學系擔任終身職教職（1999–2006）。張智威擁有史丹佛大學電腦科學碩士與電機工程博士學位。他因在可擴展機器學習與醫療人工智慧領域的貢獻，獲選為 ACM 與 IEEE 會士。所獲榮譽包括美國國家科學基金會 CAREER 獎、Google 創新獎、ACM SIGMM 時間考驗獎，以及獎金一百萬美元、表彰人工智慧疾病診斷的 XPRIZE 大獎。