School of Medicine
Showing 6,601-6,700 of 13,024 Results
-
Anne Liu
Clinical Professor, Pediatrics - Immunology
Clinical Associate Professor (By courtesy), Medicine - Pulmonary, Allergy & Critical Care MedicineBioDr. Liu is a board-certified, fellowship-trained specialist in allergy/immunology and infectious disease. She is also a clinical associate professor in the Department of Medicine, Division of Infectious Diseases and the Department of Pediatrics, Division of Allergy, Immunology, and Rheumatology at Stanford University School of Medicine.
Dr. Liu treats infections in patients with compromised immune systems, whether due to a primary immune deficiency or a condition like cancer or organ transplant. She helps patients to develop tolerance to medications they are allergic to so that they can receive the best, and sometimes the only, treatments available to them. She also treats allergies to antibiotics, aspirin, NSAIDs, chemotherapy, and more. She sees patients both long term and for urgent referrals, such as in cases of perioperative anaphylaxis. Dr. Liu also helps pediatric patients manage drug and food allergies.
One of Dr. Liu’s areas of focus is helping patients with allergies to antibiotics determine when they have lost an allergy, what antibiotics they can tolerate, and when to induce tolerance to an antibiotic. This not only can benefit the patient, but also have a positive public health impact, as labeling patients with a penicillin allergy may negatively affect their care and increase use
of broad-spectrum antibiotics.
She collaborates closely with colleagues from other disciplines, including pulmonology, otolaryngology, oncology, cardiology, dermatology, anesthesiology, and surgery. Her key objective in working with referring physicians is to help them safely deliver the best care for their patients.
For patients and families, Dr. Liu strives to help them navigate their care journey with as much ease and dignity as possible during what may be the most challenging time of their life. Her goal is to offer patients options, even when it may appear that they have no options left.
Dr. Liu’s research interests include optimizing care of patients with antibiotic allergies, including through use of decision support tools.
Dr. Liu has authored articles in the New England Journal of Medicine, Journal of Immunology, Journal of Allergy and Clinical Immunology in Practice, Clinical and Experimental Allergy, Mucosal Immunology, Diagnostic Microbiology and Infectious Disease, Science, and other publications. Dr. Liu authored the book chapter “Hypersensitivity Reactions to Monoclonal Antibodies” in Drug Allergy Testing.
Dr. Liu is certified in infectious disease by the American Board of Internal Medicine and in allergy and immunology by the American Board of Allergy and Immunology. She is also a member of the American College of Physicians, Infectious Diseases Society of America, and American Academy of Allergy, Asthma, and Immunology.
She has given presentations on antibiotic allergies, drug desensitization, and aspirin-exacerbated respiratory disease, among other topics. Dr. Liu’s honors include recognition from the American Academy of Asthma, Allergy, and Immunology, the American Medical Women’s Association, and the National Institutes of Health. -
Christine Kee Liu
Associate Professor of Medicine (Primary Care and Population Health)
BioDr. Liu and her research program are dedicated to improving the lives of older adults with kidney disease. Currently her research focuses on mobility, which is the ability to move safely and reliably from one place to another. In older adults, poor mobility strongly predicts future disability and death. Retaining mobility has been cited by older adults as fundamental to quality to life; yet many older persons with kidney disease, especially those with late stage chronic kidney disease or outright kidney failure, have trouble just walking across the room or transferring to a chair. Dually trained in geriatric medicine and epidemiology, Dr. Liu also has significant expertise in older adult clinical trials, including safety trials of novel agents as well as intervention studies to reduce infections in older populations.
-
Daniel Dan Liu
MD Student, expected graduation Spring 2026
Ph.D. Student in Stem Cell Biology and Regenerative Medicine, admitted Autumn 2020
MSTP Student
Ph.D. Minor, Computer ScienceBioDaniel received his bachelor's degree in Molecular Biology from Princeton University in 2018, where he conducted research under Dr. Yibin Kang on cancer metastasis and cancer stem cell biology. He then came to Stanford for his MD-PhD training, where he joined the laboratory of Dr. Irv Weissman. His graduate research concerned the prospective isolation of neural stem cells from primary human brain tissue, in development and across lifespan.
Daniel is currently a resident in Anatomic and Neuropathology at Stanford Medicine. -
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.
-
Katherine Liu
MD Student, expected graduation Spring 2029
MSTP StudentCurrent Research and Scholarly InterestsSignal and image processing of neural dynamics under various brain states
-
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. -
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. -
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
-
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.
-
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. -
Ruizhe Liu
Postdoctoral Scholar, Psychiatry
Bio2014 - 2020Graduate student, Department of Psychology, University of Pittsburgh, Pittsburgh, PA, U.S.
2009 - 2012 M.S. in Psychology. School of Psychology, Beijing Normal University (BNU), Beijing, China
2005 - 2009 B.S. in Psychology. Department of Psychology, East China Normal University (ECNU), Shanghai, China -
Sheng Liu
Postdoctoral Scholar, Biomedical Data Sciences
BioSheng Liu is a postdoctoral fellow at Stanford University. In May 2023, He received a Ph.D. degree from New York University, majoring in Data Science and Machine Learning. His background is in the area of robust and trustworthy machine learning, machine learning for healthcare.
-
Wanlu Liu
Affiliate, Institute for Immunity, Transplantation, and Infection Operations
Visiting Scholar, Institute for Immunity, Transplantation, and Infection OperationsBioAcademic Appointments
- Associate Professor, Zhejiang University
- Visiting Scholar, Stanford University School of Medicine (Mark M. Davis Lab)
Professional Education
- Ph. D., UCLA, Molecular Biology/Bioinformatics (2018)
- B.Med., Zhejiang University School of Medicine (2013)
Selected Publications:
- Ruonan Tian#, Zhejian Yu#, Ziwei Xue, Lize Wu, Jiaxin Wu, Shuo Cai, Bing Gao, Bing He, Yu Zhao, Jianhua Yao, Linrong Lu, Wanlu Liu*; Evaluation of T cell receptor construction methods from scRNA-seq data, Genomics Proteomics & Bioinformatics, 2025, 22(6), qzae086
- Ziwei Xue#, Lize Wu#, Ruonan Tian, Bing Gao, Yu Zhao, Bing He, Di Sun, Bingkang Zhao, Yicheng Li, Kaixiang Zhu, Lie Wang, Jianhua Yao*, Wanlu Liu*, Linrong Lu*; Integrative Mapping of Human CD8+ T Cell in Inflammation and Cancer, Nature Methods, 2025, 22(2), 435-445
- Jian Zhang#, Ruonan Tian#, Jie Yuan#, Zhang Siwen, Zhexu Chi, Weiwei Yu, Qianzhou Yu, Zhen Wang, Sheng Chen, Mobai Li, Dehang Yang, Tianyi Hu, Qiqi Deng, Xiaoyang Lu, Xue Zhang, Jia Liu, Wanlu Liu*, Di Wang*; A two-front nutrient supply environment fuels small intestinal physiology through differential regulation of nutrient absorption and host defense, Cell, 2024, 187(22), 6251-6271.
- Yaqi Su, Zhejian Yu, Siqian Jin, Zhipeng Ai, Ruihong Yuan, Xinyi Chen, Ziwei Xue, Yixin Guo, Di Chen, Hongqing Liang, Zuozhu Liu, Wanlu Liu*; Comprehensive assessment of mRNA isoform detection methods for long-read sequencing data, Nature Communications, 2024, 15, 3972
- Yixin Guo, Ziwei Xue, Meiting Gong, Siqian Jin, Xindi Wu, Wanlu Liu*; CRISPR-TE: a web-based tool to generate single guide RNAs targeting transposable elements, Mobile DNA, 2024, 14(1), 3
- Xinyu Xiang#, Yu Tao#, Jonathan DiRusso, Fei-Man Hsu, Jinchun Zhang, Ziwei Xue, Julien Pontis, Didier Trono, Wanlu Liu*, Amander T. Clark*; Human reproduction is regulated by retrotransposons derived from ancient Hominidae-specific viral infections, Nature Communications, 2022
- Lize Wu#, Ziwei Xue#, Siqian Jin, Jinchun Zhang, Yixin Guo, Yadan Bai, Xuexiao Jin, Chaochen Wang, Lie Wang, Zuozhu Liu, James Q. Wang, Linrong Lu*, Wanlu Liu*; huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level, Nucleic Acids Research, 2021, gkab857
- Yixin Guo, Ziwei Xue, Ruihong Yuan, Jingyi Jessica Li, William A. Pastor, Wanlu Liu*; RAD: a web application to identify region associated differentially expressed genes, Bioinformatics, 2021, 37(17): 2741-2743. -
Wendy Liu, MD, PhD
Assistant Professor of Ophthalmology
Current Research and Scholarly InterestsDr. Liu's research interests include the role of mechanosensation in the eye as it relates to the pathophysiology of glaucoma, with the goal of finding new druggable targets in glaucoma treatment.
-
Xin Liu
Basic Life Science Research Scientist, Genetics
BioXin Liu is a postdoctoral Research Scientist in the Department of Genetics at Stanford University. Xin holds a PhD in Chemistry from the University of Michigan, Ann Arbor. Her basic research interests include RNA and protein biochemistry, enzymology, cancer immunology, and autoimmune disease. She has published papers in several prestigious journals in the field of biochemistry, including Nature Communications, Journal of American Chemical Society, and Nucleic Acids Research. The highlight of her multidisciplinary research includes the development of high-throughput enzymatic methods to discover anti-microbial agents and to reveal mechanisms behind human mitochondrial diseases, as well as innovative applications of genome engineering and machine-learning to decode principles of RNA editing in human cells. Her current research focuses on the mechanistic study of innate immune pathways.
-
Y. Lucy Liu, MD, PhD
Senior Research Scientist, Pediatrics - Hematology/Oncology
Current Role at StanfordSenior Research Scientist
-
Yang Merik Liu
Postdoctoral Scholar, Psychiatry
BioDr. Yang Merik Liu is currently a postdoctoral scholar (and an incoming Instructor) with the Department of Psychiatry and Behavioral Sciences, Stanford University, and is affiliated with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. He is a Co-I of the NIH/NIA R33 Grant, and was a PI of the North Ostrobothnia Regional Fund of the Finnish Cultural Foundation and the Instrumentarium Science Foundation, carrying out research on digital measures with affective intelligence. Dr. Liu coordinated and managed "AI Forum" and "ICT 2023 TrustFace" projects during his postdoctoral research in University of Oulu since Jan. 2022, led by Academy Professor Guoying Zhao, member of Academia Europaea, member of the Finnish Academy of Sciences and Letters, IEEE/IAPR/ELLIS Fellow. He was also a former researcher with the Haaga-Helia University of Applied Sciences, in 2023, and was a visiting scholar with Hong Kong Baptist University (Prof. Pong Chi Yuen) and University of Cambridge (Prof. Hatice Gunes), in 2023 and 2024, respectively. Dr. Liu has published more than 40 papers in reputable journals and proceedings. He served as the Session Chair of IEEE FG 2025, the Track Chair of IEEE COINS 2026, the Guest Associate Editor of Frontiers in Psychology and Frontiers in Human Neurosciences, and organized tutorials and workshops in international conferences, i.e., HHAI 2024 and IEEE FG 2025. Dr. Liu was an Assistant Lecturer of the "Affective Computing" course in University of Oulu, in 2023. He mentored junior doctoral researchers and co-supervised post-/undergraduate students. His research interests include affective computing, cognitive computation for cross-species behavioral, and AI for aging medicine.
-
Yongkai Liu
Instructor, Radiology
BioDr. Yongkai Liu is an instructor in the Department of Radiology, Division of Neuroimaging and Neurointervention at Stanford University. His research focuses on developing and evaluating advanced techniques to improve treatment decision-making and prognostication in brain diseases—particularly stroke—using imaging and deep learning. Dr. Liu is a recipient of the prestigious K99/R00 award for his work on integrating large language models with imaging-based deep learning for stroke outcome prediction.
Prior to joining Stanford, Dr. Liu earned his Ph.D. in Physics and Biology in Medicine from UCLA under the mentorship of Prof. Kyung Sung. This rigorous training equipped him with a strong foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled “Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence,” focused on developing cutting-edge deep learning and machine learning techniques for MRI-based clinical applications. During his master’s studies, he conducted research on CT Virtual Colonoscopy under the guidance of Prof. Jerome Liang, an IEEE Fellow.
Dr. Liu has also made significant contributions to the academic community as a peer reviewer for leading journals, including The Lancet Digital Health, NPJ Digital Medicine, Medical Image Analysis, Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.
Dr. Liu is an emerging leader in neuroimaging, stroke research, and artificial intelligence. His work has earned wide recognition, including the K99/R00 Award, the 2024 AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award in both 2024 and 2025, and selection as a semi-finalist for the 2024 Cornelius G. Dyke Award. These honors underscore his promise as an investigator and his potential to make significant contributions to the field (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html). His research has also been featured in Neurology Today, including his early work linking chain-of-thought methods with clinical reasoning to help advance the use of large language models in real-world clinical care (https://neurologytoday.aan.com/doi/10.1212/netod-blogs.10000031). -
Amy Lo
Adjunct Clinical Associate Professor, Pathology
BioDr. Amy Lo is a pathologist with board certification in anatomic pathology, clinical pathology and molecular genetic pathology. She completed her MD and MS at the University of Illinois at Chicago and her residency in both anatomic and clinical pathology at Northwestern University. She then joined the faculty at Northwestern University as a Clinical Instructor and Advanced Gastrointestinal/Surgical Pathology Fellow. Amy then completed a molecular genetic pathology fellowship at Stanford University.
In 2016, Amy joined Genentech as research pathology scientist supporting drug research and development with a focus in oncology and individualized drug development.
Additionally, Amy continues clinical work as an Adjunct Clinical Associate Professor in pathology at Stanford University and Lucille Packard’s Children’s Hospital. -
Clara Lo
Clinical Professor, Pediatrics - Hematology & Oncology
Current Research and Scholarly InterestsResearch interests include:
Biomarkers and targeted therapy in pediatric immune thrombocytopenia
Transfusion-related iron overload
Hemophilia and other rare bleeding disorders
Thrombophilia
