I'm a molecular epidemiologist and computational geneticist with a PhD in genetics, MPH in genetic epidemiology, and MA in applied linguistics. I study everything from molecules (e.g., metabolites, gene expression, and epigenetics) to behavior. I combine cutting-edge causal inference techniques (such as Mendelian randomization) and machine learning to make discoveries about human physiology, behavior, and health.
Current Research
- The best part about being a scientist is teaching. This is something I love about Harvard and my role in SEED.