Stanford University
Showing 11-18 of 18 Results
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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.
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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.
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Javier Perez-Garcia
Postdoctoral Scholar, Epidemiology
BioJavier Perez-Garcia is a postdoctoral scholar in the Department of Epidemiology and Population Health at Stanford University. His research has been focused on the integration of multi-omic data (e.g., genomics, epigenomics, transcriptomics, and microbiome) to identify potential biomarkers of treatment response for complex diseases like asthma. His research background includes experience both in molecular biology techniques (e.g., DNA extraction and sequencing libraries preparation) and bioinformatic analyses (e.g., processing of raw omic data, association studies at genomic scale, or multi-omic integration through machine learning and quantitative trait loci analyses). He holds a Ph.D. in Health Sciences and a B.Sc. in Pharmacy from the University of La Laguna (Spain).
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Astrid Nicole Zamora
Postdoctoral Scholar, Epidemiology
BioDr. Zamora's work examines how social and environmental contexts shape the three pillars of health, diet, sleep, and physical activity, and influence chronic disease risk. Her research integrates epidemiologic methods with community-based participatory approaches to translate findings into evidence-based public health strategies. Her goal is to advance chronic disease prevention and promote heart-healthy aging among Latino/a communities and underserved populations.
