陳昇瑋博士現為台灣資料科學協會理事長、中央研究院資訊科學研究所研究員暨資料洞察實驗室主持人，研究領域為使用者滿意度、多媒體及社群系統及計算社會學等，在使用者／社群意見及感受的淬取及量化方面持續有代表性的研究創見。

陳博士堅信資料及資料分析的價值，長期推廣資料科學及其在各領域的應用，發起台灣資料科學協會及台灣資料科學愛好者年會，期能將對於資料科學的熱情傳達給大眾，一起來探索資料科學的潛力，並將資料科學引入每個人的專業領域之中。他期待讓資料分析在台灣不再是口號，而是大家真實拿來解決問題及創造價值的工具。

欲瞭解陳博士的研究及心得分享，請至他的個人網頁一探究竟。

Ed H. Chi is a Research Scientist at Google, leading a team focused on recommender and machine learning, as well as social interaction research. He has led research and launched significant product features in recommenders for the Google Play Store and Google+. Previous to Google, he was the Area Manager and a Principal Scientist at Palo Alto Research Center's Augmented Social Cognition Group, where he led the group in understanding how social computing systems help groups of people to remember, think and reason. Ed completed his three degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota, and has been doing research on user interface software systems since 1993. He has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press.

With over 35 patents and over 100 research articles, he is known for research in Web and online social sites, and the effects of social signals on user behavior. For example, he led a group of researchers at PARC to understand the underlying mechanisms in Wikipedia. He has also worked on information visualization, computational molecular biology, ubicomp, and has won awards for both teaching and research. In his spare time, Ed is an avid photographer and snowboarder.

Four years ago, Michael built one of the first big data asset management funds. He has extensive experience in data science. As his first job at Foxconn, he used massive amounts of data to identify and solve the relationship between weather and a major manufacturing failure which cost tens of millions per quarter. His work has been featured on the cover stories on several prestigious journals. Michael holds a diploma from NTU, Taiwan and a Ph.D from MIT EECS.