news

Feb 15, 2025 We’re hiring multiple Postdoctoral Research Fellows at the Columbia AI Agents Initiative. Apply to work with me on data-centric AI!
Feb 14, 2025 I’m also looking for motivated undergraduate and master’s students to work on ML research. Fill this form out if you’re interested.
Dec 05, 2024 AI systems are omni-present, yet extrapolate unreliably. Improving AI safety and capabilities hinges on comprehension of uncertainty and actively making decisions to resolve it. Instead of cumbersome probabilistic models, my team leverages a predictive view of uncertainty to build a scalable framework based on autoregressive models. Watch this recent Simons talk to learn more.
Jun 10, 2024 In this significantly updated paper, we use rigorous and extensive empirical analysis to highlight the shortcomings of robust learning algorithms and advocate for new data-driven inductive paradigm for algorithm development. Also check out our NeurIPS 2023 tutorial on distribution shifts and my DRO brown bag overviewing my group’s work in this direction.
Dec 15, 2023 Watch my SNAPP talk on Adaptive Experimentation at Scale.
May 15, 2023 Watch my talk on Robust Causal Inference that I gave at the IFDS workshop on distributional robustness in data science.