School of Medicine
Showing 661-680 of 942 Results
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Jonathan T.C. Liu
Professor of Pathology and Professor, by courtesy, of Bioengineering
Current Research and Scholarly InterestsBiomedical optics
In vivo microscopy
Slide-free pathology
Three-dimensional microscopy
3D pathology
Optical biopsy
Image-guided surgery
Early detection
Artificial intelligence
Machine learning
Deep learning
Computational analysis
Computational pathology
Virtual staining
Molecular imaging -
Juliana Liu, MSN, RN, ANP-C
Affiliate, CVI/Vera Moulton Wall Center
BioJuliana Liu, MSN, RN, ANP-C is the Program Manager and Nurse Practitioner for the Adult Pulmonary Hypertension Service at Stanford. She received her Adult Nurse Practitioner (ANP) degree from the University of California, San Francisco School of Nursing. She has a BA in History from Pomona College. Juliana Liu has worked in the Pulmonary Hypertension field since 2002, and has presented at numerous nursing and patient conferences in the US and abroad. She has also served as member and chair on several committees of the Pulmonary Hypertension Association.
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Katherine Liu
MD Student, expected graduation Spring 2029
MSTP StudentCurrent Research and Scholarly Interestssignal and image processing of neural dynamics under various brain states
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Lianli Liu
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly InterestsAI-driven medical imaging for accelerated imaging speed and improved image quality, including:
Accelerated imaging for in-treatment patient monitoring and post-treatment patient follow up;
Functional imaging for treatment response evaluation and prediction.
Optimizing clinical quality assurance workflow through AI, including:
Radiation beam data modeling for efficient commissioning;
Model-based error detection for accurate dosimetry. -
Lili Liu
Postdoctoral Scholar, Epidemiology
BioLili (Larry) Liu, PhD, is a postdoctoral fellow in the Department of Epidemiology and Population Health at Stanford University. Dr. Liu is an integrative epidemiologist whose research is unified by a consistent methodological approach rather than a single disease area. Across his master’s, doctoral, and postdoctoral training, he has repeatedly developed or operationalized epidemiologic frameworks and analytic programs and applied them to important public health questions spanning rare diseases, chronic disease, cancer, mortality, microbiome, and women’s health. His work brings together molecular biomarkers, large-scale population cohorts, and real-world health data to generate coherent, hypothesis-driven research on how genetic variation, lifestyle, pharmacologic factors, and early-life exposures shape inflammation, biological aging, and chronic disease risk across the life course.
During his master’s training at Peking University, Dr. Liu developed expertise in literature synthesis, national claims-based study, rare disease burden estimation, patient-centered health information research, cohort-based analysis, and vaccine effectiveness evaluation. He helped build and apply claims-based analytic algorithms to estimate incidence and prevalence for multiple rare diseases in China, led first-author studies on online health information and patient information needs in rare disease populations, and established an analytic framework for CHARLS-based cohort studies that supported multiple downstream projects. During his PhD training at Vanderbilt University, he expanded into population genetics, molecular and cancer epidemiology, mortality and health disparities research, gut microbiome, and pooled multi-study analyses. His doctoral work included a multi-ancestry GWAS of urinary prostaglandin E2 metabolite (PGE-M), development of PGE-M-derived dietary and lifestyle scores, and Mendelian randomization analyses linking lipid-related pathways to colorectal cancer risk. He also led several first-author studies in the Southern Community Cohort Study on poverty, sitting time, physical activity, walking and mortality, and alcohol intake and the gut microbiome, several of which received substantial public health and media attention.
At Stanford, Dr. Liu has developed an independent research program centered on women’s health and life-course epidemiology using U.S. national claims data. He has built large nationwide pregnancy and mother-baby cohorts from MarketScan to study adverse obstetric outcomes, long-term cardiometabolic and hepatic outcomes, and early-onset cancer risk. His first corresponding-author paper at Stanford examined gestational diabetes in relation to subsequent type 2 diabetes and metabolic dysfunction-associated steatotic liver disease, and his ongoing work extends this framework to cardiovascular, kidney, metabolic, and reproductive health outcomes, including PCOS and endometriosis. He also received a Stanford MCHRI fellowship grant to study prenatal and early-life antibiotic exposure in relation to pediatric inflammatory bowel disease and celiac disease. In parallel, his collaborative work includes placental and maternal-fetal research on extracellular vesicles and angiogenic signaling.
Methodologically, Dr. Liu works at the interface of causal inference, pharmacoepidemiology, molecular epidemiology, and scalable real-world data science, using reproducible analytic pipelines in R, Python, SQL, and high-performance computing environments. Across all stages of his training, the central theme of his work has been to build scalable analytic infrastructure and apply it to high-impact epidemiologic questions with broad public health relevance, with the overarching goal of translating rigorous population science into actionable strategies for chronic disease prevention in diverse populations. -
Lin Liu
Postdoctoral Scholar, Chemistry
BioI finished my undergraduate study in general chemistry at Shandong Normal University in 2014. Later, I continued to my master’s studies in organic chemistry at Lanzhou University. In 2018, I moved to Baylor University conducting research under the mentorship of Professor John L. Wood. During my graduate studies, I mainly focused on the total syntheses of natural products. In 2024, I joined the Khosla lab and Cui lab as a joint postdoc. Outside the lab, I like cooking, playing basketball, and watching movies
