Stanford University
Showing 17,701-17,800 of 34,488 Results
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Grace I. Liu
Sr. Industrial Contracts Officer, Office of Technology Licensing (OTL)
Current Role at StanfordSr. Industrial Contracts Officer
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Mengyao Liu
Ph.D. Student in Classics, admitted Autumn 2022
Ph.D. Minor, Computer ScienceBioI am broadly interested in the production of knowledge in ancient worlds, with a particular interest in the Greco-Roman and Chinese traditions. My curiosity is a comparative and genealogical one at root: by comparing different societies, I seek to grasp the historicity of intellectual practices and the ideas thus produced. Currently, my research interest focuses on astronomy and astrology in Ancient Greece and China.
While completing my B.A. in Classics at Sorbonne University, I investigated how the urban metamorphoses of Rome materialized the transformation of the political regime. My master's thesis at EHESS, "Statues pour les corps, livres pour les mots" : La vie (βἰος) et la rhétorique (λόγος) dans les Discours Sacrés, offers insight into the psychosomatic relations conceived by the Greeks. The inquiry breaks into two interdependent questions: the therapeutic usage of rhetorical practices and the unconventional representation of Asclepius in the Sacred Tales of Aristides.
Having one year of training in software engineering from Tsinghua University, I am also passionate about the potentials of digital humanities. -
Jonathan T.C. Liu, PhD
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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C. Karen Liu
Professor of Computer Science
BioC. Karen Liu is a professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.
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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. -
Li Liu
Sir Robert Ho Tung Professor
Current Research and Scholarly InterestsResearch interests:
Archaeology of early China (Neolithic and Bronze Age); ritual practice in ancient China; cultural interaction between China and other parts of the Old World; early domestication of plants and animals in China; theory of development of complex societies and state formation; settlement archaeology; urbanism; zooarchaeology; starch analysis; use-wear analysis; mortuary analysis; craft specialization -
Lianli Liu
Clinical Associate 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. -
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
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Linda Y. Liu
Senior University Counsel, Legal Services
BioLinda Y. Liu joined Stanford's Office of the General Counsel in 2017 as Senior University Counsel specializing in real estate law matters. Prior to joining Stanford, Linda served as Senior Counsel – Real Estate at Apple Inc. She was also a real estate transactions associate with Allen Matkins in Irvine and San Francisco. Linda received her B.A., magna cum laude, from Rice University and her J.D. from The University of Texas School of Law.
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Xin (Melody) Liu
YogaX Program Coordinator, Psychiatry and Behavioral Sciences
BioXin 'Melody' Liu, MBA, RYT500, is a Program Coordinator with YogaX at Stanford Psychiatry. A graduate of the YogaX 200-hour and 300-hour teacher training programs and currently enrolled in the yoga therapy training program, she is a therapeutic yoga practitioner with a professional background in psychology research and business consulting.
Her approach is grounded in the understanding that wellbeing begins with turning inward, reconnecting with one's authentic self, and recognizing an inherent wholeness, and that what individuals cultivate internally extends outward to their communities as compassion and connection. Drawing on Integrated Holistic Yoga and mind-body science, she offers an integrative approach that incorporates therapeutic yoga, breath work, contemplative practice, and lifestyle medicine.
At YogaX, she provides student and community support, teaching, and mentorship. -
MINGSHUO LIU
Postdoctoral Scholar, Biomedical Data Sciences
BioHello! I’m Mingshuo Liu, a postdoctoral scholar at Stanford University working with Professor Lu Tian. My research interests include high-dimensional statistics, statistical inference, and synthetic data. I’m always happy to connect and discuss potential collaborations, research ideas, or seminar opportunities. Feel free to reach out!
You can learn more about my research here: https://mingshuostat.github.io/ -
Nancy Fang Liu
Clinical Assistant Professor, Medicine
BioNancy Liu is a hospitalist and clinical assistant professor in the Department of Hospital Medicine. She earned her medical degree at the University of Pennsylvania and completed her internal medicine residency training at Stanford Health Care, where she was awarded the Julian Wolfsohn Award for dedication to leadership, clinical practice, and teaching during residency. Her interests are in quality improvement, end of life care, and health equity for underserved populations.
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Rong Liu
Postdoctoral Scholar, Biology
BioRong Liu is a postdoctoral scholar in the Department of Biology at Stanford University. Her research focuses on biodiversity, biogeography, and plant functional ecology, with particular interest in understanding how plant traits, evolutionary history, and environmental gradients shape global patterns of species diversity. She uses large-scale herbarium records, functional trait data, phylogenies, and spatial modelling approaches to study plant bioregionalization and ecological responses to environmental change.
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Ruikang Liu, MD, FAAP, CAQSM, RMSK
Clinical Instructor (Affiliated), School of Medicine - Student Affairs
BioDr. Liu is a board-certified primary care pediatrician, fellowship trained sports medicine specialist (peds and adults), and registered in musculoskeletal ultrasonography. He aims to help patients become healthier, more active, while staying safe and in less pain.
He got his Bachelor’s from Johns Hopkins University, and medical degree and pediatrics training, including a Chief Instructor year, at Penn State. He then did a sports medicine fellowship at the University of Colorado, where he helped in the care of several notable professional teams including Denver Nuggets, Colorado Rapids, and Colorado Avalanche. Prior to joining Stanford UMP, he was the APD of the LSU Shreveport Primary Care Sports Medicine Fellowship, where in addition to leading the didactics curriculum, he was also co-head team physician for Grambling State University, medical director for a USA Judo tournament, and ringside physician for USA Boxing amongst many other roles.
Dr. Liu is known nationally in the American Medical Society for Sports Medicine, serving past roles including the Pediatric Residency Representative, Fellowship Class Representative, Co-chair of the Pediatric Curriculum Subcommittee, Co-Chair of the SportsMedRef Subcommittee, and is currently the Chair of the Special Interest Group Subcommittee.
Outside of work, Dr. Liu enjoys training martial arts and hiking with his wife and dogs. -
Sze Chun Liu
Masters Student in Design, admitted Autumn 2025
BioWith a background in architecture from the Bartlett School of Architecture, UCL, and interdisciplinary research experience at the University of Hong Kong’s Healthy High-Density Cities Lab, Sze Chun works at the intersection of design and engineering to address complex human challenges. Current work focuses on the global issue of loneliness, emphasizing human-centered approaches that bridge disciplines, foster connection, and reimagine the role of technology in everyday life.
