Lin Tan

Professor Lin Tan is a distinguished academic whose work centers on advancing the field of software engineering, with a particular focus on software reliability and dependability. As a faculty member in the Department of Computer Science at Purdue University, she has made significant contributions to the understanding and improvement of software systems through her research in empirical studies, defect detection and repair, and the synergy between software and artificial intelligence. Her research interests are diverse and encompass areas such as bug prediction, detection, and repair, as well as program comprehension and synthesis. Professor Tan is also deeply involved in mining software repositories, which provides valuable insights into software development practices and trends. Her work in software text analytics has further enhanced the ability to analyze and interpret large volumes of software-related data, contributing to the overall reliability and efficiency of software systems. Throughout her career, Professor Tan has been recognized with numerous awards for her groundbreaking research. Her dedication to mentoring has seen her supervise a significant number of doctoral and master's students, as well as postdoctoral researchers, guiding them to success in their academic and professional endeavors. Her commitment to education and research excellence continues to inspire the next generation of computer scientists. In addition to her research and teaching responsibilities, Professor Tan actively participates in various academic and professional communities, contributing her expertise to advance the field of software engineering. Her work not only enhances the theoretical understanding of software systems but also has practical implications for improving software quality and dependability in real-world applications.