Stanford University
Showing 12,051-12,100 of 13,057 Results
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Samantha Wang
Clinical Associate Professor, Medicine
BioDr. Samantha Wang is a Clinical Associate Professor in the Division of Hospital Medicine at Stanford University School of Medicine. She received her medical and masters in health sciences degrees from Yale School of Medicine and completed her Internal Medicine residency at Stanford, where she served as Chief Resident. She practices as a hospitalist at Stanford Health Care and works closely with residents and students in clinical teaching and mentorship. Her clinical focus is in patient-centered communication, and she directs inpatient implementation of the Serious Illness Care Program while studying strategies to improve the quality and impact of serious illness conversations for hospitalized patients.
Dr. Wang’s academic work spans health equity, medical education, and faculty development. She leads national collaborations advancing scholarship and advocacy in health equity and has received innovation grants to develop curricula addressing bias, structural racism, and diagnostic equity in clinical care. Her “5-Minute Moment for Racial Justice” curriculum has been disseminated nationally and internationally through Stanford CME and YouTube and translated into multiple languages. She received the American Board of Internal Medicine Professionalism Article Prize (2025) for her scholarship on professionalism and advancing health equity.
Dr. Wang leads faculty development initiatives within the Division of Hospital Medicine that support mentorship, scholarship, and community building. Her work focuses on creating environments where faculty can thrive academically while fostering inclusive learning communities for the next generation of physicians. In recognition of these efforts, she received the Stanford University Women’s Forum Inspiring Early Academic Career Award. -
Sen Wang
Instructor, Radiology
BioDr. Wang is a research scientist in the Wang group. He previously completed his postdoctoral fellowship in the Wang group and his BS and PhD in the Department of Engineering Physics at Tsinghua University. Sen's research interests focus on technologies and methods for image processing, reconstruction, and recognition, especially in the medical field. His PhD work investigated reconstruction algorithms and applications of x-ray spectral imaging, including photon counting detector modeling and correction, as well as quantitative imaging and computer vision with deep learning on x-ray images and other medical images.
At Stanford, Dr. Wang works on advanced CT detector designs and imaging algorithms. -
Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
On Partial Leave from 04/01/2026 To 06/30/2026Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in Edge AI, biosensors, information storage and spintronics. His research and inventions span across a variety of areas including Edge AI, magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
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Sophia Y. Wang, MD, MS
Assistant Professor of Ophthalmology
Current Research and Scholarly InterestsI use and integrate a wide variety of data sources in my research, spanning both structured and unstructured forms, including national survey datasets, health insurance claims data, patient generated online text, surgical video, and electronic health records. I investigate outcomes of treatments for glaucoma and cataract, as well as other areas of ophthalmology. My focus is on developing artificial intelligence methods to predict ophthalmology outcomes, while ensuring fairness.
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Sui Wang, PhD
Associate Professor of Ophthalmology
Current Research and Scholarly InterestsOur research focuses on unraveling the molecular mechanisms underlying retinal development and diseases. We employ genetic and genomic tools to explore how various retinal cell types, including neurons, glia, and the vasculature, respond to developmental cues and disease insults at the epigenomic and transcriptional levels. In addition, we investigate their interactions and collective contributions to maintain retinal integrity.
1. Investigating retinal development:
We utilize genetic tools and methods such as in vivo plasmid electroporation and CRISPR to dissect the roles of cis-regulatory elements and transcription factors in controlling retinal development.
2. Understanding diabetes-induced cell-type-specific responses in the retina:
Diabetes triggers a range of multicellular responses in the retina, such as vascular lesions, glial dysfunction, and neurodegeneration, all of which contribute to retinopathy. We delve into the detailed molecular mechanisms underlying these diabetes-induced cell-type-specific responses and the pathogenesis of diabetic retinopathy.
3. Developing molecular tools for labeling and manipulation of specific cell types in vivo:
Cis-regulatory elements, particularly enhancers, play pivotal roles in directing tissue- and cell-type-specific expression. Our interest lies in identifying enhancers that can drive cell type-specific expression in the retina and brain. We incorporate these enhancers into plasmid or AAV-based delivery systems, enabling precise labeling and manipulation of specific cell types in vivo. -
Taia T. Wang, MD, PhD, MSCI
Associate Professor of Medicine (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly InterestsLaboratory of Mechanisms in Human Immunity and Disease Pathogenesis
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Tao Wang (王韬)
Director of Precision Diabetes Care, Genetics
Current Role at StanfordPrincipal Investigator, AI for Precision Diabetes Management
Project Manager & Scientific Co-lead, PsychENCODE Project
Project Initiator & Clinical Co-lead, Long COVID Clinical RCT with TCM
Project Initiator & Manager, AI & Wearables Toolkit for Biomedical Sciences
ENCODE and PsychENCODE Project Data Manager
Research Scientist, US Veteran Affairs Hospital
SCGPM HPC System Administrator -
Teresa Wang
Klaus Bensch Professor in Experimental Pathology, Emerita
Current Research and Scholarly InterestsThe main focus of our research is to understand how cells maintain genome integrity by checkpoint mechanisms during chromosome replication.
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Tong Wang
Resident in Pathology
Candidate For Affiliation, Pathology ClinicalBioTong Wang, MD, PhD, is a physician-scientist in clinical pathology with interests in nucleic acid chemical biology, epigenetics, deep learning, and clinically useful tests.
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Tony Wang
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioTony Wang is a Clinical Assistant Professor in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine. He is a board-certified anesthesiologist and intensivist with clinical expertise in critical care medicine and liver transplant anesthesiology.
Dr. Wang completed his medical school training, anesthesiology residency, and critical care fellowship at the Johns Hopkins School of Medicine. Dr. Wang is deeply committed to medical education and academic innovation. He serves as the Associate Program Director for the Liver Transplant Anesthesiology Fellowship and is the founding director of Stanford's Anesthesiology Critical Care Education for Leaders (ACCEL) program. He is also Director of Residency Engagement for WikiAnesthesia, a comprehensive digital platform designed to serve as an open-access repository of anesthesia knowledge for trainees and practitioners.
Prior to medicine, Dr. Wang worked as a software engineer at Epic Systems, where he developed an appreciation for the intersection of technology and healthcare delivery.
His clinical interests include the perioperative management of complex patients, liver transplant anesthesiology, critical care medicine, and the integration of technology into anesthesiology education. -
Wenjun Wang
Postdoctoral Scholar, Stem Cell Transplantation
Current Research and Scholarly InterestsMy postdoctoral research focuses on investigating novel therapy for childhood leukemias.
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Wenmin Wang
Postdoctoral Scholar, Ophthalmology
Current Research and Scholarly InterestsI am particularly interested in identifying therapeutic strategies for various eye disorders and investigating the mechanisms by which defects in inositol phosphatases lead to the disruption of primary cilia function and eye diseases by using Omics.
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Xinnan Wang
Professor of Neurosurgery
Current Research and Scholarly InterestsMechanisms underlying mitochondrial dynamics and function, and their implications in neurological disorders.
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Tauska Lan
Affiliate, Genetics - BASE
BioI'm an ML engineer specializing in LLM post-training and agentic systems—with a particular focus on domains where rigor matters: health, biology, and scientific discovery.
Long-horizon agents — Designed and shipped multi-step orchestration systems (Pantheon-CLI, OmicVerse Agent) that outperform general SWE-agent baselines on biomedical tasks. Built cross-provider query routing and sandboxed execution to keep complex workflows robust over extended interactions. My agents don't just respond—they plan, recover from failure, and complete real research pipelines end-to-end.
Agentic science — Created infrastructure where AI doesn't assist research—it conducts it. Vectorized 30 years of NHANES data; parallelized Bayesian kernel machine regression on Kubernetes; built TCGA/GEO pipelines that bridge wet-lab and dry-lab workflows. Co-developed OmicVerse, an open-source platform powering reproducible multi-omics and single-cell analyses across hundreds of studies.
Experience engineering — Scaled rubric-based reward datasets to 1M+ pairs; trained summary and chain-of-thought reward models via RLAIF/RLHF; delivered measurable benchmark lifts in health AI. I care about the full loop: data curation → reward shaping → careful ablation → verifiable outcome—no cherry-picked demos—just metrics that survive scrutiny.
Currently pursuing advanced agentic studies at Karolinska Institutet and Stanford!
Open-source: OmicVerse · Pantheon-CLI · RAG Web UI · AstrBot
If you're working on post-training at scale, scientific agents, or high-integrity data pipelines—I'm always interested in systems that move from promising results to verifiable outcomes. Let's talk. -
Xunda Wang
Basic Life Research Scientist, Neurosurgery
Current Role at StanfordResearch Scientist
