Stanford University
Showing 451-500 of 1,598 Results
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Yankai Wang
Ph.D. Student in Business Administration, admitted Autumn 2024
BioLinkedIn page: https://www.linkedin.com/in/yankai-wang-ykwang/
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Yidan Wang
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioI joined Dr. John Benjamin’s lab to study the heterogeneity of neutrophils across developmental stages and during bronchopulmonary dysplasia (BPD). My research focuses on characterizing neutrophil subsets and investigating the contributions of distinct neutrophil subsets to the development of BPD.
My predoctoral training was completed at Northwestern University under the co-mentorship of Dr. Harris Perlman and Dr. Deborah Winter. I studied the heterogeneity and functions of monocyte-lineage cells and macrophages in mouse synovial tissue under both steady-state and inflammatory arthritis conditions. -
Yiyu Wang
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Yiyu Wang is a T32 postdoctoral researcher at the Department of Anesthesiology, Stanford School of Medicine. Her research combines computational models and neuroimaging techniques to characterize the neural architecture underlying complex human experiences in emotion and pain. Her current work focuses on leveraging deep learning, foundation models, and explainable AI to improve neuroimaging-based markers as well as multi-modal markers of chronic pain.
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Yuan Wang
Assistant Professor of Earth System Science and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioYuan Wang is an Assistant Professor in the Department of Earth System Science at the Stanford Doerr School of Sustainability. He is also a Center Fellow in the Woods Institute for the Environment. Prior to joining Stanford, he was an Associate Professor at Purdue University and a research scientist at California Institute of Technology. His research group aims to advance the understanding of the physical and chemical interactions between atmospheric constituents and climate change. Specifically, his group conducts research related to aerosol-cloud-radiation interactions and their climatic implications, aerosol properties and haze formation, cloud and precipitation microphysics, and the assessment of the greenhouse gas and aerosol forcings on the atmosphere, ocean, and cryosphere. They develop and use multiscale numerical and AI models in combination with space-borne and in situ measurements to address those scientific questions. Yuan is a recipient of the James B. Macelwane Medal and James R. Holton Award from the American Geophysical Union, the Henry G. Houghton Award from the American Meteorological Society, and the CAREER Award from National Science Foundation.
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Yuyan Wang
Assistant Professor of Marketing at the Graduate School of Business
BioYuyan Wang is an assistant professor of marketing and Kevin J. O’Donohue Family Faculty Scholar for 2024–2025 at Stanford Graduate School of Business. With over six years of industry experience at Google DeepMind and Uber as a machine learning researcher, she has designed algorithms for understanding and improving the long-term values of recommender systems, many of which have been deployed globally in multiple products at Google and Uber Eats. Her background is in statistics, with a PhD from the Department of Operations Research & Financial Engineering (ORFE) at Princeton University and a BSc from the Special Class for the Gifted Young at the University of Science of Technology of China. She has received the Steven Shugan Best Junior Faculty Paper Award at the AI in Management Conference (AIM) in 2025, and the Best Paper Award at the Conference on Information Systems and Technology (CIST) in 2022.
At Stanford GSB, Wang created and taught Understanding AI Technologies for Business Problems, the school’s first technical MBA course on AI. -
Dr. Zhiyong Wang
Professor (By Courtesy), Biology
BioDr. Wang is the acting director of the Department of Plant Biology, Carnegie Institution for Science, and a professor by courtesy of the Department of Biology, Stanford University. He is currently an associate editor of Molecular Cellular Proteomics, and editorial board member of Molecular Plant. He is a Fellow of the American Association for the Advancement of Science (AAAS) and recipient of the Humboldt Research Prize.
Dr. Wang obtained his Ph.D. in 1998 from UCLA, where he cloned the plant circadian clock gene CCA1. He did his postdoctoral research at the Salk Institute, where he studied the brassinosteroid signaling mechanism mediated by the BRI1 receptor kinase. Since joining Carnegie in 2001, his research has illustrated the receptor kinase signaling pathway that links the BRI1 receptor kinase to the BZR1 transcription factor and brassinosteroid-responsive genes in the Arabidopsis genome. He further demonstrated how the steroid signaling pathway integrates at the molecular level with other hormonal pathways, light signaling pathways, nutrient-sensing pathways, immunity pathways, and the circadian clock, to coordinately regulate plant growth and development. His lab uses combinations of genomic and proteomic approaches to understand how cellular signals are transduced and integrated through posttranslational modifications (e.g. phosphorylation and O-Glycosylation) and protein-protein interactions. His studies are elucidating the molecular mechanisms that control plant growth and mediate responses to environmental changes. -
Zijun Wang
Affiliate, Chemistry
Visiting Scholar, ChemistryBioZijun Wang is an industrial R&D partner with Stanford Chemistry, Founder of CaliResearch Corporation, and serves in a scientific business development role at Rigaku Corporation.
His research interests include next-generation energy storage materials, low-dimensional materials, and the development of advanced characterization methodologies.
Email:
zjwang1@stanford.edu -
Ziwei Wang
Postdoctoral Scholar, Radiation Therapy
Current Research and Scholarly InterestsMy current work focuses on establishing preclinical platforms to rapidly validate the functional impact of genetic alterations in tumors using both cell and genetically engineered mouse models. We hope this system can accelerate the discovery and translation of novel cancer therapies to patients.
