We focus on the development, validation, application, and instruction of methods for 

• Causal inference

• Machine Learning

​

Our main areas of application are​

• HIV prevention and community health

• COVID-19

• Environmental epigenetics

• Behavioral medicine

​

​Overall, our work is informed by cross-disciplinary real-world problems and aims to ensure methodological advances in Academia translate into real-world impact.