Wu Tsai Human Performance Alliance
Showing 351-360 of 365 Results
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Haopeng Xiao
Assistant Professor of Biochemistry
BioUnderstanding mechanisms of metabolic regulation in physiology and disease forms the basis for developing therapies to treat diseases in which metabolism is perturbed. We devise novel mass spectrometry (MS)-based proteomics technologies, combined with data science, to systematically discover mechanisms of metabolic regulation over protein function. Our strategies established the first tissue-specific landscape of protein cysteine redox regulation during aging, elucidating mechanisms of redox signaling in physiology that remained elusive for decades. We also leverage the genetic diversity of outbred populations to systematically annotate protein function and protein-metabolite co-regulation. The aim of our research program is to develop next-generation MS-based strategies to understand mechanisms of metabolic regulation in aging, metabolic disease, and cancer, and to use this knowledge as a basis to develop translational therapeutics.
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Grace Xiong, MD
Assistant Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsDr. Xiong’s research is focused on improving the care and management of patients with subacute and chronic spinal cord injury, improving clinical outcomes in spinal surgery, and improving health access to spinal care.
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Sheng Xu
Professor of Anesthesiology, Perioperative & Pain Medicine (Department Research) and, by courtesy, of Electrical Engineering and of Materials Science & Engineering
BioDr. Sheng Xu is a tenured professor and the inaugural Director of Emerging Technologies in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University, with courtesy appointments in Electrical Engineering and Materials Science and Engineering. He earned his B.S. degree in Chemistry from Peking University and his Ph.D. in Materials Science and Engineering from the Georgia Institute of Technology. Subsequently, he pursued postdoctoral studies at the Materials Research Laboratory at the University of Illinois at Urbana-Champaign. He then spent 10 years on the faculty at UC San Diego before joining Stanford in 2025. His research group is interested in developing new materials and fabrication methods for soft electronics. His research has been presented to the United States Congress as a testimony to the importance and impact of NIH funding.
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Fan Yang
Associate Professor of Orthopaedic Surgery and of Bioengineering
Current Research and Scholarly InterestsOur lab’s mission is to develop therapies for regenerating human tissues lost due to diseases or aging, and to build tissue engineered 3D models for understanding disease progression and informing drug discovery. We invent biomaterials and engineering tools to elucidate and modulate biology, and also use biology to inform materials and engineering design. Our work is highly interdisciplinary, and is driven by unmet clinical needs or key gaps in biology.
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Phillip C. Yang, MD
Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsDr. Yang is a physician-scientist whose research interest focuses on clinical translation of the fundamental molecular and cellular processes of myocardial restoration. His research employs novel in vivo multi-modality molecular and cellular imaging technology to translate the basic innovation in cardiovascular pluripotent stem cell biologics. Dr. Yang is currently a PI on the NIH/NHLBI funded CCTRN UM1 grant, which is designed to conduct multi-center clinical trial on novel biological therapy.
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Yunzhi Peter Yang
Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering
Current Research and Scholarly InterestsThe Yang Lab focuses on next-generation solutions at the intersection of 3D printing, regenerative medicine, modular tissue engineering, biomaterials, and medical device innovation. Our research focuses on engineering dynamic, biomimetic microenvironments that promote cell growth, tissue regeneration, and functional restoration. We develop transformative technologies to treat a broad spectrum of musculoskeletal conditions—including multi-tissue healing challenges and complex traumatic injuries.
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Jason Yeatman
Associate Professor of Pediatrics (Developmental-Behavioral Pediatrics), of Education and of Psychology
BioDr. Jason Yeatman is an Associate Professor in the Graduate School of Education and Department of Psychology at Stanford University and the Division of Developmental and Behavioral Pediatrics at Stanford University School of Medicine. Dr. Yeatman completed his PhD in Psychology at Stanford where he studied the neurobiology of literacy and developed new brain imaging methods for studying the relationship between brain plasticity and learning. After finishing his PhD, he took a faculty position at the University of Washington’s Institute for Learning and Brain Sciences before returning to Stanford.
As the director of the Brain Development and Education Lab, the overarching goal of his research is to understand the mechanisms that underlie the process of learning to read, how these mechanisms differ in children with dyslexia, and to design literacy intervention programs that are effective across the wide spectrum of learning differences. His lab employs a collection of structural and functional neuroimaging measurements to study how a child’s experience with reading instruction shapes the development of brain circuits that are specialized for this unique cognitive function. -
Serena Yeung-Levy
Assistant Professor of Biomedical Data Science and, by courtesy, of Electrical Engineering and of Computer Science
BioDr. Serena Yeung-Levy is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Yeung-Levy leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, and the Center for Artificial Intelligence in Medicine & Imaging. She is also a Chan Zuckerberg Biohub Investigator and has served on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence. -
Roham Zamanian
James and Yvonne Wood Professor of Pulmonary Vascular Medicine
Current Research and Scholarly Interests1. Development and evaluation of prognostic and diagnostic integral biomarkers in PAH.
2. Prevalence and Treatment of Insulin Resistance in PAH.
3. Role of inflammation and proteomic signature in PAH
4. Development of novel therapeutics (bench to bedside) including FK506 & Elastase Inhibition in PAH.
5. Assessment of Vasoreactivity (gain and loss) in pulmonary arterial hypertension
6. Assessment of microvascular function in PAH.
