I am a Ph.D. student in Computer Science at Tulane University, advised by Prof. Mettu. Before joining Tulane, I received my B.Sc. (Honors) in Computer Science from the University of Nottingham Ningbo China. My research focuses on Explainable Artificial Intelligence (XAI) and AI for Science (AI4S), with a particular emphasis on immunoinformatics, where I develop interpretable machine learning methods to advance discoveries in immunology. My broader research interests include computational neuroscience, genomics, proteomics, experiment-driven bioinformatics, interpretable natural language processing, and machine learning for finance. Currently, I collaborate with Zach and Prof. Ding on interdisciplinary research at the intersection of machine learning and neuroscience. More broadly, I am passionate about developing computational methods and artificial intelligence techniques that accelerate scientific discovery across diverse disciplines.
I am always open to new collaborations, whether they involve interdisciplinary research, novel applications of machine learning, or the development of computational tools for scientific research. If you are interested in working together, feel free to contact me at jli78@tulane.edu, or stop by Paul Hall 309 if you happen to be nearby .