Lin Tan
Chinese computer scientist
From Wikipedia, the free encyclopedia
Lin Tan is a Chinese computer scientist and software engineering researcher whose intererests include software reliability, the application of text analytics to comments in computer code, and AI-assisted software development. She works at Purdue University as Mary J. Elmore New Frontiers Professor of Computer Science and as a Purdue University Faculty Scholar.[1]
Education and career
Tan has a 2003 bachelor's degree from Zhejiang University. She completed her Ph.D. in 2009 at the University of Illinois Urbana-Champaign with the dissertation Leveraging code comments to improve software reliability supervised by Yuanyuan Zhou.[2]
She held a Canada Research Chair as an associate professor at the University of Waterloo before moving the Purdue University in 2019.[1] She was given the Mary J. Elmore New Frontiers chair as an associate professor in 2020,[3] promoted to full professor in 2022,[4] and named as a University Faculty Scholar in 2025.[1]
Recognition
In 2021 the Siebler School of Computing and Data Science at the University of Illinois Urbana-Champaign gave Tan their Early Career Academic Achievement Alumni Award.[3] She was named to the 2026 class of IEEE Fellows, "for contributions to software text analytics, software-AI synergy, and software reliability".[5]