School of Medicine
Showing 12,451-12,500 of 13,059 Results
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Allen Wu
Principal Engineer At Eli Lilly And Company, Medicine - Med/Cardiovascular Medicine
BioAllen Wu is a machine learning engineer and researcher specializing in large-scale AI/ML infrastructure for biomedical and pharmaceutical applications. He contributed to the development of TuneLab, an Eli Lilly AI/ML platform supporting federated drug discovery with external biotech partners, and Model Gateway, an MLOps inference platform for internal model-driven drug discovery, during his tenure at Eli Lilly. He holds dual MS degrees in Computer Science (National Chiao Tung University, Taiwan) and Software Engineering (San José State University), with publications in both VLSI/EDA and Pharma AI, and is an IEEE peer reviewer and NSTC LEAP Fellow (hosted at Synopsys). His current research interests focus on the intersection of iPSC biology and AI/ML pipelines for precision medicine.
LinkedIn Profile: https://www.linkedin.com/in/yswu123
Google Scholar Profile: https://scholar.google.com/citations?user=ymttL5gAAAAJ -
Yingcheng Wu
Postdoctoral Scholar, Pathology
BioYingcheng (Charles) Wu is an AI4S postdoc advised by Le Cong and Mengdi Wang, focusing on physical AI scientists, biomedical world models, and autonomous science infra. His work combines embodied AI, world model, and agents to build self-driving laboratories. He has published studies in **Cell**, **Science**, **Nature**, and received honors including the ICIS Sidney & Joan Pestka Award, the IUBMB Young Scientist Fellowship, the APASL Young Investigator Award, World’s Top 2% Scientists by Stanford, WAIC Rising Star Award.
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Yue Wu
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsI built computational methods to integrate and model biological time series, including metabolic dynamics, longitudinal multi-omics data, and micro-sampling. I reduce dimensions, built clusters, and search for causal links.
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Ziyan Wu
Postdoctoral Scholar, Otolaryngology - Head & Neck Surgery
BioZiyan’s PhD research centers around contaminant sensing in the environment using Raman spectroscopy, membrane sensors, and machine learning. At Stanford, Ziyan will continue her research on investigating the health impacts of emerging contaminants.
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Wanat Wudhikulprapan
Affiliate, Rad/Musculoskeletal Imaging
BioDr. Wanat Wudhikulprapan is an attending radiologist and instructor/ lecturer in the Department of Radiology at Chiang Mai University, Chiang Mai, Thailand. He earned his MD from Chulalongkorn University, completed diagnostic radiology residency training (2022), and pursued a research fellowship in musculoskeletal imaging at the Department of Radiology, Stanford University (2025–2026). His clinical and research interests center on musculoskeletal MRI, with a focus on dynamic and functional imaging techniques, quantitative assessment, bone marrow disease and MSK infection, and deep learning–enabled image analysis to advance diagnostic precision.
Dr. Wudhikulprapan is a member of the Royal College of Radiologists of Thailand (RCRT), ISMRM, and International Skeletal Society
Education
Research Fellowship: Musculoskeletal Imaging — Stanford University, Department of Radiology, Stanford, CA (2025–2026)
Clinical fellowship: Body Imaging — Chiang Mai University (class of 2022)
Residency: Diagnostic Radiology — Ramathibodi Hospital ,Mahidol University (class of 2020)
Medical education (MD): Chulalongkorn University, Bangkok, 2016
Publications
- Patellofemoral instability: Anatomy, imaging techniques, and clinically relevant measurements
- Diagnosing osteomyelitis in diabetic foot by diffusion-weighted imaging and dynamic contrast material-enhanced magnetic resonance imaging: a systematic review and meta-analysis
- Iron overload and programmed bone marrow cell death: Potential mechanistic insights
- Can conventional magnetic resonance imaging at presentation predict chemoresistance in osteosarcoma? -
Courtney Wusthoff, MD
Member, Maternal & Child Health Research Institute (MCHRI)
Current Research and Scholarly InterestsMy projects focus on clinical research in newborns with, or at risk, for brain injury. I use EEG in at-risk neonates to better understand the underlying pathophysiology of risk factors that may lead to worse outcomes. I am particularly interested in neonatal seizures and how they may exacerbate perinatal brain injury with a goal to identify treatments that might protect the vulnerable brain. I am also interested in EEG in other pediatric populations, as well as medical ethics and global health.
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Joanna Wysocka
Lorry Lokey Professor and Professor of Developmental Biology
Current Research and Scholarly InterestsThe precise and robust regulation of gene expression is a cornerstone for complex biological life. Research in our laboratory is focused on understanding how regulatory information encoded by the genome is integrated with the transcriptional machinery and chromatin context to allow for emergence of form and function during human embryogenesis and evolution, and how perturbations in this process lead to disease.
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Tony Wyss-Coray, PhD
D. H. Chen Professor II
Current Research and Scholarly InterestsUse of genetic and molecular tools to dissect immune and inflammatory pathways in Alzheimer's and neurodegeneration.
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Ruohan Xia
Postdoctoral Scholar, Psychiatry
BioRuohan's research centers around understanding the genetic and environmental mechanisms supporting infants' and young children's socioemotional development through the lens of developmental cognitive neuroscience. Her PhD research focused on uncovering he neural and caregiver correlates on infants' emotion-perception neural circuitry during live interactions in typically developing children using electroencephalogram (EEG). At Stanford, she is pursuing research questions using a combination of magnetic resonance imaging (MRI) and EEG to identify the endophenotype of the neural anatomy and function in children with rare genetic conditions such as neurofibromatosis type 1 (NF1) and Noonan Syndrome (NS) differ from typically developing counterparts, and explore how such neural differences may lead to unique developmental trajectory of social communication.
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Jinxi Xiang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsI develop machine leanring methods to autonomate the digital pathology.
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Haopeng Xiao
Assistant Professor of Biochemistry
Current Research and Scholarly InterestsWe develop mass spectrometry (MS)-based chemical systems biology approaches, combined with machine learning and biochemistry, to uncover the molecular mechanisms of metabolic regulation in physiology and disease. In parallel, we systematically investigate the ligandability and druggability of the human proteome, providing a foundation for the discovery of new therapeutic strategies for aging, metabolic disease, and cancer.
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Yuyin Xiao
Postdoctoral Scholar, Economics
BioYuyin Xiao is the postdoctoral researcher of the Freeman Spogli Institute for International Studies at Stanford University. She received her MS and PhD from Shanghai Jiaotong University. Her research focuses almost exclusively on low- and middle-income countries and is concerned with: health policy, including health equity, supply, demand and utilization of health service programs, and research on health service systems; health technology and innovation, including digital health, development of digital health tools, and evaluation of the effectiveness of digital interventions. Yuyin’s papers have been published in leading academic journals, including British Medical Journal, Journal of Medical Internet Research, Journal of Biomedical Informatics, BMC Public Health and others.
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Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
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James Xie
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Associate Professor, Clinical InformaticsBioDr. James Xie is a board certified pediatrician, pediatric anesthesiologist, and clinical informaticist at Stanford University School of Medicine. His goal is to improve patient care and promote health equity with health information technologies. Currently he serves as a clinical informaticist and Epic physician builder at Stanford Medicine Children's Health. He holds additional appointments in the Division of Obstetric Anesthesiology and Maternal Health and Division of Clinical Informatics.
Dr. Xie studied computer science and medicine at Stanford University, followed by a combined residency in general pediatrics at Boston Children's Hospital and Boston Medical Center and anesthesiology at Brigham and Women's Hospital. After residency, he completed a fellowship in pediatric anesthesiology at Stanford Children's Health where he subsequently joined the faculty. -
Min Xie
Postdoctoral Fellow, Medicine - Primary Care and Population Health
BioCausal inference using natural experiments with focuses on public health policy and medical intervention.
Also work on development economics topics of financial and education intervention.
PhD in economics, Heidelberg University
personal webpage: https://minxie.org
