Wu Tsai Human Performance Alliance
Showing 1-10 of 21 Results
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Weidong Cai
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioMy research investigates the brain mechanisms underlying cognitive deficits in two key populations: children with neurodevelopmental disorders, particularly ADHD, and elders with neurodegenerative conditions, such as Parkinson’s disease. By integrating cognitive science, neuroscience, and computational modeling with cutting-edge functional neuroimaging techniques, I aim to uncover the neurocognitive processes that shape both typical and atypical brain development and aging. My research goal is to advance our understanding of the factors contributing to cognitive dysfunction across the lifespan, with the ultimate goal of improving diagnosis and 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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Jennifer Carlson
Clinical Professor, Pediatrics - Adolescent Medicine
BioJennifer Carlson, MD, is a Clinical Professor of Pediatrics in the division of Adolescent Medicine at Stanford. During her time at Stanford, she has served in a range of both clinical roles (providing care in the ambulatory, inpatient, and consultative services) and educational roles (serving as rotation director, pediatric resident coach, program director for Adolescent Medicine fellowship, member of the Fellows in Adolescent Medicine Learning Initiative (FAMLI)). She has led/collaborated on program initiatives with the goal of improving health access, particularly for the adolescent-aged population. These programs have included the Virtual PrEP clinic, inpatient Reproductive Consultation service, outpatient Joint Reproductive Health clinics, and Eating Disorders Telehealth program.
In addition to Adolescent Medicine, Dr. Carlson is board-certified in Clinical Informatics. She has served as the Medical Director of Patients Portals since 2016 and is a member of the Epic Adolescent Medicine Steering Board/BrainTrust. In her role as Clinical Informaticist, she has worked to expand and enhance information access for patients and families and published widely on novel approaches to portal development and management of confidentiality within the electronic health record (EHR). She has collaborated on the Epic White paper for managing confidentiality within the EHR and co-authored a multi-organization position statement on the topic.
Operationally, Dr. Carlson has held positions as physician-at-large for the LPCH Executive committee, Medical Director of the South Bay clinics, and member of the Operations Leadership Steering committee for the hospital.
Specific areas of interest and scholarship include:
1)Improving health equity and health access for the pediatric population- particularly for the adolescent and young adult age range- through novel program development (such as Virtual PrEP clinic).
2)Developing foundational and systemic approaches to managing health information within the EHR to allow for optimal health care for all patients. This includes ensuring that private and confidential information is protected within the electronic health record and non-private information is easily accessible to patients and families.
3)Improving systems for screening and management of psychosocial factors that affect the health of youth and families (ie, social determinants of health, universal depression screening, etc). -
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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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 and Professor, by courtesy, of Mathematics
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
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Ovijit Chaudhuri
Associate Professor of Mechanical Engineering and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsWe study the physics of cell migration, division, and morphogenesis in 3D, as well cell-matrix mechanotransduction, or the process by which cells sense and respond to mechanical properties of the extracellular matrices. For both these areas, we use engineered biomaterials for 3D culture as artificial extracellular matrices.
