Lin Tan

2021 Early Career Academic Achievement Alumni Award

Dr. Lin Tan
Lin Tan

Lin Tan (PhD CS ‘09 ) became the Mary J. Elmore New Frontiers Associate Professor at Purdue University in 2020 after establishing a proven track record of research and teaching. Her research interests include AI and software synergy, software engineering, software reliability and security, and software text analytics. Some of Lin’s research focuses on leveraging machine learning and natural language processing techniques to improve software dependability and using software approaches to improve the dependability of machine learning systems. Before joining Purdue, she was a Canada Research Chair and an associate professor at the University of Waterloo.

Lin is an IEEE senior member and has co-authored papers that have received ACM SIGSOFT Distinguished Paper Awards at ASE 2020, MSR 2018, and FSE 2016; and IEEE Micro's Top Picks in 2006. Additionally, Lin was a recipient of Canada Research Chair (one of Canada's highest research honors), an NSERC Discovery Accelerator Supplements Award, an Ontario Early Researcher Award, among several other awards.

Lin’s service experience also includes co-chair for several conferences – including FSE 2020 Visions and Reflections and MSR 2017 – as well as serving as an editor of IEEE Transactions on Software Engineering and the Springer Empirical Software Engineering Journal.