School of Medicine
Showing 11-20 of 24 Results
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Zongbo Li
Postdoctoral Scholar, Health Policy
BioZongbo Li, PhD, is a postdoctoral researcher at Stanford Health Policy. His research focuses on applying simulation modeling and cost-effectiveness analysis to inform policy decisions related to substance use and infectious diseases. He evaluates overdose prevention interventions, including naloxone distribution and medications for opioid use disorder, with particular attention to vulnerable populations such as people who are incarcerated. His work also encompasses modeling infectious diseases and evaluating interventions for COVID-19, HIV, and HCV. Zongbo earned his PhD in Health Services Research, Policy & Administration from the University of Minnesota.
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Richard Liang
MD Student with Scholarly Concentration in Health Services & Policy Research / Global Health, expected graduation Spring 2026
Ph.D. Student in Epidemiology and Clinical Research with Scholarly Concentration in Health Services & Policy Research / Global Health, admitted Autumn 2022
MSTP Student
Master of Arts Student in East Asian Studies, admitted Spring 2024Current Research and Scholarly InterestsPrimary research interests include:
- applications of advanced epidemiological methods
- life course health and social epidemiology
- bridging population health and basic science research
Clinical & health services research topics have included:
- maternal/child health
- geriatrics/aging
- dermatology, particularly inflammatory skin diseases -
Eleni Linos, MD, MPH, DrPH
Ben Davenport and Lucy Zhang Professor of Medicine, Professor, of Medicine (Center for Digital Health) and, by courtesy, of Epidemiology and Population Health
BioEleni Linos MD, MPH, DrPH, is the Director of the Stanford Center for Digital Health. She is a Professor of Dermatology and Epidemiology at Stanford University. Dr. Linos also serves as an Associate Dean for Research at Stanford Medicine, leading the training and mentoring of the next generation of translational research scientists.
Dr. Linos' research focuses on the use of technology in health, dermatology, public health, cancer prevention and the care of older adults. She is dually trained in epidemiology and dermatology and is the principal investigator of several NIH funded studies aimed at improving the lives of patients worldwide. She received her undergraduate degree from Trinity College, Cambridge and medical degree from Christ Church College, Oxford University in the UK. She then received a master’s and doctoral degree from the Harvard School of Public Health and completed her residency in Dermatology at Stanford University.
Linos has been continuously funded by the NIH since 2016, as principal investigator of several studies on technology, aging and dermatology. Her scholarly output includes over 200 peer-reviewed publications, an h-index of 51, and more than 10,000 citations across disciplines. Linos was awarded the NIH Director’s New Innovator Award and received the Paul Beeson Emerging Leaders Award in Aging.
As the Director of the Stanford Center for Digital Health, she has built and led infrastructure bringing together scientists and industry leaders across all Stanford schools to catalyze research across the fields of medicine, computer science, engineering, robotics, policy and public health.
Dr. Linos is committed to mentorship and training of the next generation of scientists in translational research. She has personally mentored over 60 physician-scientists, many of whom are now independently-funded investigators and leaders in academic medicine. She also serves as the co-PI of Stanford CTSA’s K12 Program, responsible for mentorship and training of 10 translational science faculty each year. Over the last seven years, she is funded by an NIH K24 mentorship grant award to mentor the next generation of physician-scientists in dermatology. In addition, Linos is committed to mentorship and supporting students across all levels of education to pursue their passions including students in high school and undergraduates.
Clinically, Dr. Linos is a Board Certified Dermatologist and cares for patients with skin disease in the Stanford Dermatology teaching clinics. -
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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Nathan Lo
Assistant Professor of Medicine (Infectious Diseases) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsOur research group is interested in studying the transmission of infectious diseases and impact of public health interventions with an ultimate goal of informing public health policy. We study a diverse set of pathogens, both domestically and internationally, including vaccine-preventable infections (including COVID-19) and neglected parasitic diseases (such as schistosomiasis). Our group applies diverse computational methodologies, including tools from fields of epidemiology, mathematical and statistical modeling, simulation, and policy analysis.
A large emphasis of our work is translating scientific evidence into public health policy. Our track record includes multiple studies that have changed policy in the fields of neglected parasitic diseases and COVID-19. We work closely with policy organizations like the World Health Organization and the California Department of Public Health. Nathan was the lead writer of the World Health Organization guidelines on schistosomiasis (2022) and strongyloidiasis (2024).
Our current research focuses on the following areas:
(1) Vaccine-preventable infectious diseases (including COVID-19 and measles) in the United States, with a focus on studying vaccines, transmission dynamics, and re-emergence of vaccine-eliminated diseases
(2) Public health strategies for control and elimination of globally important neglected infectious diseases, such as helminths infections (schistosomiasis, strongyloidiasis) and typhoid fever
Our current NIH funded projects include:
(1) Real-time predictive modeling for public health departments to control infectious diseases (DP2 AI170485, PI: Lo)
(2) Precision mapping of Schistosoma mansoni risk for targeted public health control and elimination (R01 AI179771, PI: Lo)
Hiring
We are seeking to fill multiple research positions at all levels. Candidates interested in working on computational public health research related to infectious diseases with a strong quantitative background are highly encouraged to apply. If you an interested, please submit a cover letter, CV, and names of two references to Nathan.Lo@stanford.edu.
