Jing Gao (computer scientist)

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]

Education and career

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]

Recognition

Gao received the ICDM Tao Li Award at the 2020 International Conference on Data Mining.[4] In 2022, the UIUC Siebel School of Computing and Data Science gave Gao their Early Career Academic Achievement Alumni Award.[3] She was named to the 2026 class of IEEE Fellows, "for contributions to addressing the multifaceted challenges of big data analytics".[5]

References

  1. ↑ "Prof. Jing Gao named University Faculty Scholar", Elmore Family School of Electrical and Computer Engineering, Purdue Engineering, April 11, 2023, retrieved 2026-01-12
  2. 1 2 3 Jing Gao, Purdue Engineering, retrieved 2026-01-12
  3. 1 2 3 Jing Gao: 2022 Early Career Academic Achievement Alumni Award, UIUC Siebel School of Computing and Data Science, retrieved 2026-01-12
  4. ↑ ICDM Tao Li Award, Florida Atlantic University, retrieved 2026-01-12
  5. ↑ IEEE Fellow Class of 2026, IEEE, retrieved 2026-01-12
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