Stanford University
Showing 33,051-33,100 of 36,192 Results
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Ban Wang
William Haas Professor of Chinese Studies and Professor, by courtesy, of Comparative Literature
BioWilliam Haas Professor in Chinese Studies, Stanford University
Departments of East Asian Languages and Comparative Literature
Yangtze River Chair Professor, Simian Institute of Advanced Study,
East China Normal University -
Bing Wang
Postdoctoral Scholar, Stem Cell Transplantation
BioMy academic training and research experience have equipped me with multidisciplinary skills and knowledge of molecular biology and immunology.
I led two projects when I was an undergraduate, in which I got primary academic learning. My team member and I investigated the bacteria content in drinking water from two types of machines that are commonly used in colleges under the guidance of our experimental microbiology teacher Zhihong Zhong. Secondly, we produced a hybridoma cell line secreting monoclonal antibody against the core antigen of the hepatitis C virus (HCV) to develop an ELISA kit for the detection of HCV under the guidance of Dr. Rushi Liu and Minjing Liao.
Thereafter, as a Ph. D. candidate at Xiaoming Feng’s lab, my research primarily focused on understanding the biology of regulatory T cells (Treg) and CD11c+ myeloid cells using cutting-edge single-cell sequencing and conditional knockout mice under healthy and disease conditions. We first revealed the heterogeneity and bifurcated differentiation pathway of human Tregs from normal donors and transplanted patients at the single-cell transcriptome level. A subsequent first and corresponding author publication identified a key innate responsive protein in CD11c+ alveolar macrophages, NRP2, that protects mice from lung injury via promoting the phagocytosis of neutrophils. I also participated in two projects regarding the role of a serine/threonine kinase, LKB1, in mice CD11c+ dendritic cells from lymphoid tissues and adipose tissue with diet-induced obesity. These academic experiences guided me into a strong passion and independent capacities for biomedical studies.
For my postdoctoral training, I will focus on developing Treg therapies and genetic stem cell therapy to cure patients with IPEX syndrome (a severe autoimmune disease) at preclinical and clinical stages, and other immune disorders. My sponsor Dr. Rosa Bacchetta is a well-known leader in treating IPEX patients and developing Treg therapies. My co-mentor Dr. Maria Grazia Roncarolo is a well-recognized pediatric immunologist and also one of the pioneers in the stem cell and gene therapy field, who discovered the type 1 regulatory T cells or Tr1 cells and translate the scientific discoveries into novel Treg therapies. Both of them have an excellent record of training postdoctoral fellows. The proposed projects will provide me with great opportunities in cutting-edge technology and translational research and outline a set of career development including grant writing, public presentation, and lab management, which will enhance my ability to become an independent investigator and help me to reach my goal of developing efficient and safe Treg therapies for a wide range of immune disorders and associated human diseases. -
Bo Wang
Associate Professor of Bioengineering and, by courtesy, of Developmental Biology
Current Research and Scholarly InterestsResearch interests:
(1) Systems biology of whole-body regeneration
(2) Cell type evolution through the lens of single-cell multiomic sequencing analysis
(3) Quantitative biology of brain regeneration
(4) Regeneration of animal-algal photosymbiotic systems -
Chen Wang, MD, PhD
Clinical Assistant Professor, Dermatology
BioDr. Wang is a board-certified dermatologist with the Stanford Dermatology Clinic and a clinical assistant professor in the Department of Dermatology at Stanford University School of Medicine.
Dr. Wang specializes in medical dermatology. He commonly diagnoses and treats conditions such as acne, inflammatory skin diseases, hair loss, and skin cancer.
Dr. Wang completed a postdoctoral fellowship in immunology research with the Mark M. Davis Laboratory at Stanford University. His research interests include cutaneous immunology and the role of T cells in inflammatory skin diseases. -
C. Jason Wang, MD, PhD
LCY: Tan Lan Lee Professor and Professor of Pediatrics (General Pediatrics) and of Health Policy
BioDr. Wang is the Director of Center for Policy, Outcomes and Prevention. Prior to coming to Stanford in 2011, he was a faculty member at Boston University Schools of Medicine and Public Health. His other professional experiences include working as a management consultant with McKinsey and Company and serving as the project manager for Taiwan's National Health Insurance Reform Task-force. His current interests include: 1) pandemic preparedness; 2) role of generative Ai on child health and development; 3) use of mobile technology in improving quality of care; 4) assessing and improving the value of healthcare, and 5) healthcare delivery innovations and payment reforms.
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Chong Wang
Postdoctoral Scholar, Radiology
BioI am currently a Postdoctoral Scholar in the Department of Radiology at Stanford University School of Medicine, affiliated with the Center for Artificial Intelligence in Medicine and Imaging (AIMI). My research mainly focuses on AI and foundation models in healthcare, with an emphasis on developing trustworthy, robust, and efficient AI solutions for medical imaging. I earned my Ph.D degree, honored with the Doctoral Research Medal, in Computer Science from the Australian Institute for Machine Learning (AIML), The University of Adelaide.
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Dakuo Wang
Visiting Associate Professor, Computer Science
BioDakuo Wang is a Visiting Associate Professor at Stanford University, and an Associate Professor at Northeastern University, jointly appointed at Khoury College of Computer Sciences and the College of Arts, Media and Design. At Northeastern, Dakuo Wang leads the Northeastern University Human-Centered AI Lab (NEU HAI), and he is also the Founding Director of the AI Application Graduate Program. His research lies at the intersection of human-computer interaction (HCI) and artificial intelligence (AI), with a focus on the exploration, development, and evaluation of human-centered AI (HCAI) systems to achieve human-AI collaboration.
Before joining Northeastern, Dakuo Wang was a Senior Staff Member at IBM Research, Principal Investigator at MIT-IBM Watson AI Lab, and a Visiting Scholar at Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI). He got his Ph.D. from the University of California Irvine (advisor: Judith Olson and Gary Olson). He has worked as a designer, researcher, and engineer in the U.S., China, and France. He serves in organizing committees, program committees, and editorial boards for a variety of venues, and ACM has recognized him as an ACM Distinguished Speaker. -
Karen D. Wang
Affiliate, Physics
BioMy research is situated at the intersection of machine learning and human cognition. In my work, I apply learning analytics and data mining techniques to students’ interaction data in technology-based learning environments. The goal is to translate fine-grained behavioral data into meaningful evidence about students’ cognitive and metacognitive processes. These enhanced understandings of students’ mental processes and competencies are then used to guide the design of and evaluate instructional materials embedded in educational technology.
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Ellen Wang
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor, Clinical InformaticsBioEllen Wang, MD is a Clinical Associate Professor of Pediatric Anesthesiology and Medical Director of Clinical Informatics for Perioperative Services at Lucile Packard Children’s Hospital Stanford. She is board-certified in Pediatric Anesthesiology and Clinical Informatics, with particular emphasis on EHR enhancement and optimization projects that support surgical, nursing, and pediatric and obstetric anesthesia workflows. She is also Chief of Operations of the Stanford Chariot Program, combining her interest in clinical care, process improvement, data analytics and research with virtual/augmented reality technologies to advance and evolve standards in patient care.
