He is the Monash Software Engineering Group Lead, and a Senior Lecturer in Software Engineering in the Faculty of Information Technology, Monash University, Australia. He is also affiliated with Monash Data Futures Institute and Digital Health Initiatives. His research is focused on developing AI-enabled software development techniques (e.g., AI for Software Defects, AI for Code Review, and AI for Agile) and tools (e.g, JITBot) in order to help developers find defects faster, improve developers' productivity, make better data-informed decisions, and better improve the quality of software systems. His work has been recognised by many prestigious awards e.g., Australian Research Council (ARC)'s DECRA Award (2020-2023), and Japan Society for the Promotion of Science (JSPS-DC2). Recently, he pioneered a new research direction of Explainable AI for Software Engineering, i.e., making software analytics more practical, explainable, and actionable. His research has been published at flagship software engineering venues, such as TSE, ICSE, EMSE, MSR, ICSME, IST, and other discipline venues like Annals of Emergency Medicine. Aligned with the Faculty's mission, 'IT for Social Good', he is interested in the areas of Digital Health. Funded by a Medical Research Future Fund (MRFF) to work with a multidisciplinary team with Cabrini Institute, St Vincent Hospital, and Eastern Health, he successfully developed analytics systems for estimating patient's wait-time in Emergency Departments and deployed in many hospitals in Australia.