Summary
Jeff Kim is a Graduate Research Fellow and MD/PhD candidate in Biomedical Engineering with eight years of experience translating AI into medical-device and bioinformatics applications. He specializes in integrating deep learning with single-cell RNA-seq and spatial transcriptomics, with a focus on skin and liver pathology, and brings hands-on lab and management experience from Johns Hopkins innovation and engineering labs. Comfortable at the intersection of electrical engineering, neuroscience, and computational biology, he builds tools that connect wet-lab insight to scalable computational pipelines. Jeff also explores the ethical implications of generative AI, signaling a thoughtful approach to deploying models in clinical contexts. Based in Chicago, he combines rigorous academic training with practical device and lab-management experience to push AI-driven biomedical research toward translational impact.
8 years of coding experience
5 years of employment as a software developer
Johns Hopkins University
MD/PhD, Biomedical Engineering, MD/PhD, Biomedical Engineering at University of Illinois College of Medicine
Korea International School