# talks

### upcoming

- Workshop on Translational Research on Data Heterogeneity, April 6, 2024

### past

- MRC Biostat seminar, Nov 14, 2023
- Statistics Seminar, UGent, Nov 16, 2023
- IMS Young Mathematical Scientist Forum, National University of Singapore, Nov 20-23, 2023
- Statistics Seminar, Technical University of Munich, Dec 6, 2023
- Online causal inference seminar, Oct 31, 2023
**Two factorizations and a density ratio, on `Parameterizing and simulating from causal models’ by Evans and Didelez**. Discussion meeting, Royal Statistical Society, London, Oct 2023. [Slides]- Pacific Causal Inference Conference 2023. Sept 16-17, 2023.
**Latent variable justifies the stronger IV bounds**.*Causal Inference & Quantum Foundations Workshop, Perimeter Institute*, April 2023.**Harnessing Extra Randomness: Reproducibility, Flexibility and Causality**.- Statistics, EPFL, Oct 2023
- ACMS, University of Notre Dame, Jan 2023
- Statistics, UC Riverside, Jan 2023
- Data Sciences and Operations, Marshall School, USC, Jan 2023
- Statistics, University of Michigan, Jan 2023
- Statistics & Operations Research, UNC, Jan 2023
- Statistics, Iowa State, Jan 2023
- Biostatistics, University of Washington, Jan 2023
- Statistics, University of Connecticut, Feb 2023
- Statistics, University of Pittsburgh, Feb 2023

**Inference for multiple data splitting and exchangeable p-values**.*CMStatistics 2022*, King’s College London, Dec 17, 2022.**Variable elimination, graph reduction and efficient g-formula**.*Fellows Seminar, Simons Institute, UC Berkeley*, May 2022.**Latent variable justifies the stronger IV bounds**.*Quantum Physics and Statistical Causal Models Workshop, Simons Institute, UC Berkeley*, April 2022.**Variable elimination, graph reduction and efficient g-formula**.*Causal Inference Reading Group, UC Berkeley*, Feb 23, 2022.**Variable elimination, graph reduction and efficient g-formula**.*Young Data Science Researcher Seminar, ETH Zurich*, Feb 17, 2022.**Variable elimination, graph reduction and efficient g-formula**.*Biostatistics, UC Berkeley*, Feb 7, 2022.**Variable elimination and graph reduction: towards an efficient g-formula**.*CMStatistics 2021*, King’s College London, Dec 2021.**Automated analysis of discrete IV with finite-sample guarantees**.*The Future of Mendelian Randomization Studies*, Lorentz Center (online), Dec 2021.**Variable elimination and graph reduction: towards an efficient g-formula for causal DAGs**.*Statistics Seminar*, Statistical Laboratory, Cambridge, Nov 2021.**Efficient least squares for estimating total causal effects**.*Pacific Causal Inference Conference*, Sept 2020.**Possible causal effects: enumeration and estimation**.*UW Statistics Seminar*, May 22, 2020.**Empirical Bayes for A/B testing and meta-analysis: a spectral approach**.*UW CSSS Seminar*, May 6, 2020.**On testing marginal versus conditional independence**.*UW Causal Working Group*, Oct 2019.