Talks

Here is a collection of my invited and contributed talks. Please feel free to reach out if you have any questions and comments and/or would like access to multimedia files (e.g., slides).

Invited

• Parallelizing MCMC Across the Sequence Length. Stanford University Department of Statistics, Palacios Group Meeting. May 22, 2026. [slides]
• Ensemble Approaches for Robust and Generalizable Short-Term Forecasts of Dengue Fever. Oklahoma State University Department of Mathematics, Computational and Applied Math Seminar. February 20, 2025. [slides]

Contributed

• Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling. Stanford-Berkeley Joint Colloquium Poster Session. October 29, 2024.
• Parallelizing MCMC Across the Sequence Length. Stanford-Berkeley Joint Colloquium Poster Session. October 21, 2025.
• Efficient Evaluation of LLM Performance with Statistical Guarantees. Stanford Causal Science Conference: Frontiers in AI Evaluation Poster Session. April 24, 2026.
• Pushing the Feasibility Frontier of MCMC with Parallelization Across Chain Length. AI+Science: Accelerating Discovery Conference Poster Session 1, co-sponsored by Stanford HAI and Stanford Data Science. May 5, 2026.
• Pro-Active Inference. AI+Science: Accelerating Discovery Conference Poster Session 2, co-sponsored by Stanford HAI and Stanford Data Science. May 5, 2026.

Discussant

• Uncertainty Intervals for Ranking, with Applications in Machine Learning, by Yuval Benjamini, International Seminar on Selective Inference. March 19, 2026.