Dr. Lingming Zhang's main research interests lie in Software Engineering, and its synergy with Machine Learning, Programming Languages, and Formal Methods. He has published over 80 research papers, winning the ACM SIGSOFT Early Career Researcher Award, four ACM SIGSOFT Distinguished Paper Awards, and one Best Industry Paper Award. His research has helped detect 1000+ bugs for open-source projects from Apache and GitHub, as well as software systems from eBay, eMetric, Google, Meta/Facebook, Microsoft, NVIDIA, OctoML, Oracle, and Yahoo!. His work on regression testing optimization has been run day-to-day in Google, while his work on automated program repair and unified debugging has been successfully deployed to the Alipay system with million lines of code and over 1 billion global users. More recently, his work on ML system fuzzing has been adopted by NVIDIA developers. To date, his research has been supported by National Science Foundation (including NSF CAREER Award and NSF CRII Award), Google, Samsung, NVIDIA, Amazon, Alibaba, Kwai Inc, and Meta/Facebook.