Scholar
Inwoo Hwang
Google Scholar ID: MuG6Le8AAAAJ
Columbia University
Citations & Impact
Citations
96
H-index
5
i10-index
3
Publications
19
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- A paper on causal interpretability accepted at NeurIPS 2025; one paper accepted at CVPR 2025; two papers accepted at ICML 2024; two papers accepted at UAI 2024, including one oral presentation; [C6] selected as a Finalist for Qualcomm Innovation Fellowship 2024; recipient of the Youlchon AI Star Scholarship; nominated as an outstanding reviewer for ECCV 2024.
Research Experience
- Currently a postdoctoral research scientist at Columbia University, working with Elias Bareinboim. Visited and will join the Causal AI Lab at Columbia University as a postdoctoral research scientist.
Education
- Ph.D. from Seoul National University, supervised by Byoung-Tak Zhang and Sanghack Lee; M.S. in Computer Science from KAIST; B.S. in Mathematical Sciences from KAIST.
Background
- Research interests include building trustworthy AI systems whose decision making is robust and interpretable, encompassing the fields of representation learning, reinforcement learning, causality, and explainable AI. Particularly focused on developing robust and efficient algorithms for causal inference and causal discovery, as well as discovering and utilizing useful inductive biases to better align model decisions with human reasoning.
Miscellany
- Personal website includes contact information and links to personal social media (such as Google Scholar, Github, LinkedIn, Twitter)
