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.

Adams

Current Research

  • Sex- & tissue-specific aging clocks built with machine learning from gene expression

  • Bidirectional Mendelian randomization of testosterone and lipids

  • NHIFTM
    NHIFTM The best part about being a scientist is teaching. This is something I love about Harvard and my role in SEED.