Jing Gao (computer scientist)
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Jing Gao is a Chinese and American computer scientist whose research applies machine learning to data mining, with topics including causal inference, anomaly detection, and truth discovery. She is a full professor of electrical and computer engineering and University Faculty Scholar at Purdue University.[1]
After bachelor's and master's degrees from the Harbin Institute of Technology in China,[2] Gao received a 2011 Ph.D. from the University of Illinois Urbana-Champaign (UIUC),[3] where her dissertation was supervised by Jiawei Han.[2]
She became an assistant professor at the University at Buffalo, and earned tenure as an associate professor there, before moving to her present position at Purdue,[3] in 2021.[2]