news

Jun 23, 2026 I presented the poster “TransPFN: Transportability-Inspired Causal Meta-Learning for OOD-Robust Causal Effects” at the IMSI workshop New Horizons on Model Transportability and Data Integration.
May 13, 2026 I presented recent work on debiased front-door learners and information-theoretic causal bounds at the 2026 American Causal Inference Conference.
Apr 30, 2026 Our paper Dissecting Causal Mechanism Shifts via FANS: Function And Noise Separation has been accepted as a regular paper at ICML 2026.
Apr 01, 2026 I am organizing an invited session for the INFORMS 2026 Annual Meeting Decision Analysis Society cluster on pragmatic causal inference for decision science under imperfect assumptions.
Mar 05, 2026 The paper appears in the International Conference on Learning Representations (ICLR), 2026. Paper: arXiv · Code: GitHub
Jan 23, 2026 Check out new paper with a blog post on data-driven information-theoretic approach to bounding heterogeneous treatment effects!
Dec 05, 2025 I attended NeurIPS 2025 and presented our work on Path-specific effects for pulse-oximetry guided decisions in critical care with amazing colleagues. See our paper and presentation slides!
Nov 12, 2025 I presented our work on Debiased Front-Door Learners for Heterogeneous Effects in Causal Data Science Meeting (CDSM) 2025. See our paper and presentation slides!
Sep 26, 2025 I presented our work on Unified Covariate Adjustment: Estimating Multilinear Causal Estimands in INFORMS 2025. See the presentation slides.
Sep 25, 2025 Check out new paper on estimating heterogeneous treatment effects with front-door adjustment! For a gentle introduction, see our blog post.
Sep 18, 2025 Our paper on diagnosing fairness in electronic health records via causal inference was accepted to NeurIPS 2025 🎉! We use path-specific effect analysis to assess fairness under bias.
Sep 12, 2025 Read my blog post comparing partial linear equation models and structural causal models (SCM) if you’re interested.
Sep 04, 2025 Read my first blog on analyzing meta-learner through orthogonal statistical learning framework!
Jun 13, 2025 I will join the UIUC iSchool as an assistant professor in Fall 2025. (news)
Jun 06, 2025 I successfully defended my Ph.D. disseration!