Yonghan Jung
Assistant Professor at University of Illinois Urbana-Champaign
United States
Summary
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Senior🎓
Top SchoolYonghan Jung is an Assistant Professor at the University of Illinois Urbana-Champaign’s School of Information Science, specializing in causal data science with applications to trustworthy AI and healthcare. He brings 11 years of research and teaching experience across KAIST and Purdue, where he completed doctoral work in computer science with interdisciplinary ties to industrial engineering. His research blends theoretical machine learning and causal inference to address robustness, fairness, and reliability in AI-driven healthcare systems. Known as a Causal AI researcher on GitHub, he balances rigorous theory with practical impact, often bridging methodological advances and real-world clinical questions. Colleagues describe him as someone who moves fluidly between mathematical formalism and applied healthcare problems, making technical ideas accessible to domain experts. He holds dual undergraduate degrees in Mathematics and Business and a master’s in Industrial and Systems Engineering, reflecting a rare mix of quantitative depth and systems thinking.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Purdue UniversityMaster's degree, Industrial and Systems Engineering, Master's degree, Industrial and Systems Engineering at Korea Advanced Institute of Science and Technology
Korean, EnglishGithub contributions (5)
yonghanjung/ECG_Monitoring
Apr 2015 - Jul 2016
Contributions:57 commits, 61 pushes, 1 branch in 1 year 2 months
yonghanjung/PPG_Reexperiment
Jul 2015 - Jul 2015
Contributions:36 commits, 37 pushes, 1 branch in 13 days
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