Talks/posters/short courses

Here is a list of my past research talks, posters, and short courses:

Talks

A Class of TMLEs for Efficient Estimation Under Two-Phase Sampling. CTML Seminar. UC Berkeley. 11/5. [Slides] [Video]
Adaptive TMLE for Data Integration: Augmenting the DEVOTE Trial with Optum. Eastern North American Region (ENAR) International Biometric Society Spring Meeting. New Orleans, LA. 3/24.

Adaptive-TMLE for the average treatment effect based on randomized controlled trial augmented with real-world data. 18th International Joint Conference on Computational and Financial Econometrics and Computational and Methodological Statistics (CFE-CMStatistics 2024). King’s College London. 12/14.
Optimizing Data Integration with an Estimator-Robust Design. Forum on the Integration of Observational and Randomized Data (FIORD 2024). Bethesda, MD. 11/7.
Adaptive-TMLE for the average treatment effect based on randomized controlled trial augmented with real-world data. The American Causal Inference Conference (ACIC), short course on highly adaptive lasso. Seattle, WA. 5/14.
Super-efficient estimation of average treatment effect based on randomized controlled trial augmented with real-world data. The International Society for Biopharmaceutical Statistics 7th Symposium. Baltimore, MD. 3/8.

The effect of metformin adherence on COVID-19 mortality in Mexico. American Public Health Association Annual Meeting & Expo (APHA). Atlanta, GA. 11/14.
Super-efficient estimation of average treatment effect based on randomized controlled trial augmented with real-world data. The Forum on the Integration of Observational and Randomized Data (FIORD) Workshop. Washington D.C. 11/7.
The effect of metformin adherence on COVID-19 mortality in Mexico. Development Engineering Research and Practice Seminar. UC Berkeley. 4/19.

Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data. The ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop (RISW). Rockville, MD. 9/24.

Super-efficient estimation of average treatment effect based on randomized controlled trial augmented with external controls or observational study. The American Causal Inference Conference (ACIC). Seattle, WA. 5/15.
Super-efficient estimation of average treatment effect based on randomized controlled trial augmented with external controls or observational study. 5th Annual CERSI Innovations in Regulatory Science Summit. Stanford University. 1/7.

Short course on “Highly Adaptive Lasso and Targeted Learning.” DahShu Data Science Symposium 2025. University of Connecticut. 10/17. Course website.