Triet Le is a researcher in CREST (Centre for Research on Engineering Software Technologies) at the University of Adelaide. He obtained his Ph.D. from the University of Adelaide. His research interests are Mining Software Repositories, Software Security, especially in the area of software vulnerability analytics. His research currently focuses on providing automation and knowledge support for software vulnerability assessment using data-driven approaches based on Machine Learning, Deep Learning, and Natural Language Processing. He has published in top-quality (CORE A/A*) venues such as International Conference on Automated Software Engineering (ASE), ACM Computing Surveys (CSUR), International Conference on Mining Software Repositories (MSR), and International Conference on Evaluation and Assessment in Software Engineering (EASE). He has also served as a PC member in the MSR conferences and won the Distinguished Reviewer Award in MSR 2022.