Summary
Kexin Ding is a postdoctoral researcher with eight years of experience specializing in multimodal and generative AI for healthcare and biomedicine, currently based at Rutgers University's Department of Computer Science. With a PhD from UNC Charlotte and internships at AWS, Philips, and SenseTime, Kexin bridges cutting-edge research on LLMs and VLMs with practical dataset and benchmark development for clinical applications. Their work focuses on adapting large models to biomedical modalities, emphasizing robust evaluation and real-world utility rather than only model metrics. An active researcher with a Google Scholar profile, Kexin combines academic rigor and industry experience to translate multimodal AI innovations into deployable healthcare tools.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Charlotte
Bachelor of Science - BS, Intelligent Science & Technology, Bachelor of Science - BS, Intelligent Science & Technology at Xidian university
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Lehigh University
Chinese, English