Summary
Charmgil Hong is an Associate Professor and machine learning researcher with 11 years of experience bridging academic rigor and industrial impact across medical AI, video anomaly detection, EV battery analytics, and market forecasting. He leads multidisciplinary projects and the Handong AI Lab, translating large-scale time-series and clinical data into real-time outlier detection and predictive systems validated with domain experts. With a PhD from the University of Pittsburgh and deep experience building automated ML/ETL pipelines in Java, Scala, and Python, he teaches and mentors students in ML, AI, databases, and engineering design. Notably, his work spans both theory (probabilistic graphical models, multi-label classification) and deployed solutions informed by collaborations with clinicians and industry partners. Open to collaborations that couple research, technology, and societal impact, he brings a pragmatic focus on turning complex data into actionable systems.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Pittsburgh
Bachelor of Science (BS), Computer Science, Graduated with Distinction, Bachelor of Science (BS), Computer Science, Graduated with Distinction at Handong Global University