The iSchool is pleased to announce that Yonghan Jung will join the faculty as an assistant professor in August 2025, pending approval by the University of Illinois Board of Trustees. Jung received his PhD in computer science from Purdue University and was a member of the Causal Artificial Intelligence Lab at Columbia University.
Jung's research focuses on causal data science, developing AI and machine learning methods to reliably compute causal effects from complex real-world data. His interests include developing general estimation frameworks, advancing trustworthy AI through uncertainty quantification for fairness and explainability, adapting causal inference to handle complex data modalities, and designing causal agents for end-to-end inference and decision-making.
His work has been published at top AI venues such as the Conference on Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and Association for the Advancement of Artificial Intelligence (AAAI) Conference. He has demonstrated a causal inference pipeline for public health at the American Thoracic Society (ATS) 2018 and co-hosted a tutorial at ACM FAccT 2022 on understanding deep neural networks through the lens of causality. During his doctoral studies, Jung served as an applied scientist intern on Amazon's Causality team, where he developed causality-based explainable-AI methods.