Garud Iyengar appointed Director of the Data Science Institute of Columbia University


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Garud Iyengar will begin as DSI Director on July 1. As the Data Science Institute builds on its decade-plus record of remarkable success in advancing the frontiers of the field, developing collaborations across Columbia’s many schools, and training the next generation of data science leaders, Iyengar brings a wealth of experience in academic leadership and long record of success in convening faculty from disparate fields to tackle pressing interdisciplinary challenges.  

Under Iyengar’s direction, DSI will partner with EVP for Research Jeannette Wing and Columbia Engineering Dean Shih-Fu Chang in leading Columbia’s AI initiative. He has been a member of the Columbia Engineering faculty since 1998. the Tang Family Professor in the Department of Industrial Engineering and Operations Research,. He is currently the Senior Vice Dean for Research and Academic Programs, leading educational programs, and large-scale interdisciplinary research at the school. 

Iyengar has played central roles at DSI since its founding. He was Associate Director for Research from 2017-19 and helped launch the Institute’s PhD concentration, seed fund program, and postdoc program. His own research has brought significant advances to the study of information, control, and optimization, and his current work addresses a broad range of domains, including cellular signaling, labor platforms, power networks, supply chains, and causal inference.

He received a B.Tech in electrical engineering from the Indian Institute of Technology in 1993 and a Ph.D. in electrical engineering from Stanford University in 1998. He is a member of Columbia’s Data Science Institute. 

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