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Ziyang Li is an Assistant Professor at the Johns Hopkins University, affiliated with the Information Security Institute. His research lies at the intersection of programming languages and machine learning, with additional contributions to software security and software engineering. Li is particularly interested in neurosymbolic methods—approaches that integrate symbolic reasoning with learning-based techniques. His work focuses on designing and scaling programming abstractions for machine learning applications across domains such as software security, computer vision, natural language processing, planning, and bioinformatics. Li was awarded the 2023 AWS AI Scholarship for his work in trustworthy AI. He received his PhD in computer science from the University of Pennsylvania in 2025 and holds dual bachelor's degrees in computer science and mathematics from the University of California, San Diego, obtained in 2019.
Department of Pathology - PhD in Pathobiology. GRE is not required.