CausalRx.AI Lab
The CausalRx.AI lab at University of Houston Department of Pharmaceutical Health Outcomes and Policy (PHOP) and Center for Population Health Outcomes and Pharmacoepidemiology Education and Research (P-HOPER Center) develops and applies AI–powered causal inference methods to evaluate drug effects. Focus areas include precision medicine, confounding control, and using multimodal data (genetics, imaging, real-world data) to assess drug effects.
I have openings for Postdocs and PhD students—feel free to contact me if you’d like to learn more about my research.
Join Us
Postdoctoral Fellow
- Causal inference & machine learning for assessing drug effects in real-world data (large claims, electronic health record, etc.)
- Lead analyses, publish, and present at national/international meetings
- Grant preparation