School of Medicine

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  • Tracy Lam-Hine

    Tracy Lam-Hine

    Postdoctoral Scholar, Epidemiology

    BioTracy Lam-Hine (he/him), DrPH, MBA, is a postdoctoral scholar in the Department of Epidemiology and Population Health and the Center for Population Health Sciences, a Research Education Component Fellow at the Stanford Alzheimer's Disease Research Center, and is affiliated via a Research Fellowship with the Temple University Center for Public Health Law Research. Dr. Lam-Hine is a social epidemiologist and population health scientist, studying how exposure to adverse childhood experiences, policy environments, and mid-life chronic disease burden shape the risk cognitive and functional aging in later life. Within this broad research area, he has a special focus on the health and social experiences of the US Multiracial population, surveillance data, methods to improve descriptive and population-generalizable research.

    • Other Names:
      Tracy Lam-Hine
  • Lili Liu

    Lili Liu

    Postdoctoral Scholar, Epidemiology

    BioLili (Larry) Liu, PhD, is a postdoctoral fellow in the Department of Epidemiology & Population Health at Stanford University. As an integrative epidemiologist, Dr. Liu unifies molecular biomarkers, large-scale population cohorts, and real-world health data into coherent, hypothesis-driven research with a sustained focus on how early-life exposures, genetic variation, lifestyle, and pharmacological factors shape inflammation, biological aging, and chronic disease risk across the life course. Trained in cancer genetic and nutrition epidemiology with complementary expertise in pharmacoepidemiology, his doctoral research at Vanderbilt University included a multi-ancestry GWAS of urinary prostaglandin E2 metabolite (PGE-M), development of PGE-M–derived dietary and lifestyle scores via elastic net with extensive bootstrapping, and Mendelian randomization analyses linking PGE-M to colorectal cancer across ancestries. At Stanford, Dr. Liu extends his research to maternal–fetal and placental epidemiology, building nationwide claims-based pregnancy cohorts (e.g., MarketScan) to examine gestational diabetes and downstream liver disease risk, and creating mother–infant pair cohort to investigate systemic antibiotic exposure in relation to subsequent inflammatory bowel disease and celiac disease. Parallel collaborations focus on extracellular vesicles and angiogenic signaling in placental health. Methodologically, Dr. Liu works at the interface of causal inference, pharmacoepidemiology, and machine learning with reproducible data engineering (R/Python, SQL, HPC), with the overarching goal of translating mechanistic insights into actionable biomarkers and risk tools for chronic disease prevention in diverse populations.