Hyun Cho is a computer science PhD candidate and Graduate Student Researcher with a decade of experience applying machine learning to healthcare, autonomous driving, and biological data. At the University of Virginia Health System, he transforms transcription factor binding sites into vector embeddings using NLP techniques, while his broader research includes explainable AI and edge-case generation for self-driving systems. He has hands-on experience across simulation (LGSVL), reinforcement learning, and practical GIS tooling from industry internship work. Earlier projects span high-accuracy image segmentation for radio astronomy and generative models for epidemiological and social media data, reflecting a comfort with both domain-specific science and core ML methods. Based in South Korea and trained at UC Berkeley and UVA, he blends interdisciplinary wet-lab familiarity with rigorous computational modeling—an unusual mix that helps bridge biological insight and algorithmic innovation.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Berkeley
High School Diploma, 4.26/4.3, High School Diploma, 4.26/4.3 at Orchard Lake St. Mary's Preparatory
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
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