Department Seminars
Upcoming Seminars
| Speaker | Title (Click for details) | Time |
|---|---|---|
| Jason Xu | Marginal Likelihood Inference for Fitting Dynamical Survival Analysis Epidemic Models | Apr 13th, 2026 11:30 am |
| Arian Maleki | Accurate and efficient data point removal for high-dimensional settings | Apr 20th, 2026 11:30 am |
| Leonard Henckel | TBD | Apr 27th, 2026 11:30 am |
| Mine Cetinkaya-Rundel | TBD | May 4th, 2026 11:30 am |
| Alex Turner | TBD | May 11th, 2026 11:30 am |
| Liza Levina | TBD | May 18th, 2026 11:30 am |
Past Seminars
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Emanuela Furfaro | Opportunities for Rethinking Homework Design with LLMs: Development and In-class Deployment of LLteacher, an LLM-based Tool for Learning | Apr 6th, 2026 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Bamdad Hosseini | A unifying perspective of scientific machine learning with kernel methods | Mar 9th, 2026 | |
| Jingshu Wang | Aggregating dependent signals: validity and power of Heavy-Tailed Combination Tests | Mar 2nd, 2026 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Qiyang Han | Algorithmic inference via nonconvex gradient descent | Feb 9th, 2026 | |
| Trevor Campbell | Automating Statistical Inference for Modern Probabilistic Models | Feb 2nd, 2026 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Edgar Dobriban | How to Use Synthetic Data for Improved Statistical Inference? | Jan 26th, 2026 | |
| Eleanor Feingold | Foundational statistical issues in contemporary genomics | Jan 12th, 2026 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Reverse Markov Learning for high-dimensional generative models with distributional shifts | Nov 24th, 2025 | ||
| Rahul Mazumder | Simplifying Complex Machine Learning Models | Nov 17th, 2025 | |
| Alex Reinhart | Do LLMs write like experts? Quantitative techniques to measure writing style and the effect of LLMs on student writing | Nov 3rd, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Daniel Malinsky | Learning and using graphical structure for reliable estimation of causal effects from observational studies | Oct 27th, 2025 | |
| Moon Duchin | Blackwell Seminar: How to measure political representation | Oct 20th, 2025 | |
| Xinwei Shen | Distributional Causal Inference: from Estimation to Simulation | Oct 13th, 2025 | |
| Strengthening an instrumental variable: applications to health services research and multicenter clinical trials | Oct 6th, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Jingyi Jessica Li | Nullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional Models | Sep 29th, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Jeff Leek | Building and using AI engines – what do we do when we’ve machine learned everything? | May 30th, 2025 | |
| Soumik Pal | An overview of entropy-regularized optimal transport and Schrödinger bridges | May 23rd, 2025 | |
| Shili Lin | Sparse Estimation in Finite Mixtures of Varying Coefficient and Survival Regression Models | May 16th, 2025 | |
| Mine Dogucu | Teaching Accessibly and Teaching Accessibility in Data-Intensive Courses | May 2nd, 2025 |
| Speaker | Time | Sponsor | |
|---|---|---|---|
| Francesco Stingo | Bayesian approaches to heterogeneous Graphical Models | Apr 25th, 2025 |