Wu Tsai Human Performance Alliance
Showing 41-50 of 349 Results
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Weidong Cai
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioMy research program investigates the neurobiological basis of cognitive dysfunction across the lifespan, focusing on two critical populations: children with neurodevelopmental disorders (e.g., ADHD) and elders with neurodegenerative conditions (e.g., Parkinson’s disease). By employing a highly interdisciplinary approach that integrates cognitive science, advanced functional neuroimaging, and computational modeling, I aim to delineate the neurocognitive processes governing both typical and atypical brain development and aging. The ultimate goal is to advance our understanding of the factors contributing to cognitive deficits and translate these findings into improved diagnostic tools and precision treatment strategies.
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David Camarillo
Associate Professor of Bioengineering and, by courtesy, of Neurosurgery and of Mechanical Engineering
BioDavid B. Camarillo is Associate Professor of Bioengineering, (by courtesy) Mechanical Engineering and Neurosurgery at Stanford University. Dr. Camarillo holds a B.S.E in Mechanical and Aerospace Engineering from Princeton University, a Ph.D. in Mechanical Engineering from Stanford University and completed postdoctoral fellowships in Biophysics at the UCSF and Biodesign Innovation at Stanford. Dr. Camarillo worked in the surgical robotics industry at Intuitive Surgical and Hansen Medical, before launching his laboratory at Stanford in 2012. His current research focuses on precision human measurement for multiple clinical and physiological areas including the brain, heart, lungs, and reproductive system. Dr. Camarillo has been awarded the Hellman Fellowship, the Office of Naval Research Young Investigator Program award, among other honors including multiple best paper awards in brain injury and robotic surgery. His research has been funded by the NIH, NSF, DoD, as well as corporations and private philanthropy. His lab’s research has been featured on NPR, the New York Times, The Washington Post, Science News, ESPN, and TED.com as well as other media outlets aimed at education of the public.
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Thomas Caruso
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsMy research pursuits are focused on system based improvement projects. At Lucile Packard Children's Hospital Stanford, I use system based approaches to improve the quality of care patients receive in the perioperative area and in the ICUs, with a focus on safe transitions of care. Through the Department of Graduate Medical Education at Stanford School of Medicine, I advise residency and fellowship programs on evidence based methods to improve their programs, with a focus on mentorship.
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Kevin Chuen Wing Chan
Associate Professor of Ophthalmology (Research/Clinical Trials)
Current Research and Scholarly Interests(1) MR ocular imaging and neuroimaging of degeneration, development, protection, plasticity, and regeneration in humans and experimental animal models.
(2) Structural, metabolic, physiological, and functional relationships between eye, brain, and behavior in health and disease. -
Howard Y. Chang, MD, PhD
Virginia and D. K. Ludwig Professor of Cancer Research, Professor of Genetics and, by courtesy, of Pathology
On Leave from 12/16/2024 To 12/15/2026Current Research and Scholarly InterestsOur research is focused on how the activities of hundreds or even thousands of genes (gene parties) are coordinated to achieve biological meaning. We have pioneered methods to predict, dissect, and control large-scale gene regulatory programs; these methods have provided insights into human development, cancer, and aging.
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Moses Charikar
Donald E. Knuth Professor
Current Research and Scholarly InterestsEfficient algorithmic techniques for processing, searching and indexing massive high-dimensional data sets; efficient algorithms for computational problems in high-dimensional statistics and optimization problems in machine learning; approximation algorithms for discrete optimization problems with provable guarantees; convex optimization approaches for non-convex combinatorial optimization problems; low-distortion embeddings of finite metric spaces.
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Akshay Chaudhari
Assistant Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics at Stanford) and of Biomedical Data Science
Current Research and Scholarly InterestsDr. Chaudhari is interested in the application of artificial intelligence techniques to all aspects of medical imaging, including automated schedule and reading prioritization, image reconstruction, quantitative analysis, and prediction of patient outcomes. His interests focus on the development and evaluation new self-supervised and representation learning techniques for multi-modal deep learning in healthcare using vision, language, and medical records data
