Lin Tan
Professor of Computer Science
Lin Tan's research interests include software dependability, software-AI synergy, and software text analytics. Some of her research focuses are leveraging machine learning and natural language processing techniques to improve software dependability, and using software approaches to improve the dependability of machine learning systems. Prior to joining Purdue, she was a Canada Research Chair and an associate professor at the University of Waterloo.
Joined department: Spring 2019
Research Areas
- Information Security and Assurance
- Networking and Operating Systems
- Artificial Intelligence, Machine Learning, and Natural Language Processing
- Software Engineering
Education
Ph.D., University of Illinois at Urbana-Champaign, Computer Science
Lin Tan's research interests include software dependability, software-AI synergy, and software text analytics. Some of her research focuses are leveraging machine learning and natural language processing techniques to improve software dependability, and using software approaches to improve the dependability of machine learning systems. Prior to joining Purdue, she was a Canada Research Chair and an associate professor at the University of Waterloo.