Wu Tsai Human Performance Alliance
Showing 271-280 of 307 Results
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Jason V. Tso, MD
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Tso is a board-certified cardiologist with the Sports Cardiology Program and the Center for Inherited Cardiovascular Disease. He serves as medical director of the Sports Cardiology Program and is a clinical assistant professor in the Division of Cardiovascular Medicine at Stanford University School of Medicine.
With clinical expertise in sports cardiology, Dr. Tso specializes in treating physically active patients. He cares for recreational weekend warriors, elite and professional athletes, and all those in between.
He has experience caring for athletes from professional sports teams and multiple National Collegiate Athletic Association (NCAA) Division I universities. Dr. Tso performs cardiac screening and consultation for multiple Bay Area sports teams and is the team cardiologist for Stanford Athletics and the San Francisco 49ers.
Dr. Tso’s research interests include cardiovascular health and adaptation in athletes. He has spent years studying American-style football players and Masters endurance athletes. He has presented his research at multiple national meetings, including the American College of Cardiology Scientific Sessions, American Heart Association Scientific Sessions, Heart Failure Society of America, and American College of Sports Medicine.
Dr. Tso’s research has been published in multiple peer-reviewed journals including the Journal of the American Heart Association, the European Journal of Preventive Cardiology, and the British Journal of Sports Medicine. He also regularly serves as a reviewer for multiple cardiology and sports medicine journals. -
Mirko Uljarevic
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioI am a medically trained researcher focused academic with a background in developmental psychopathology, psychometrics and big data science. My research takes a life-span perspective and is driven by the urgent need to improve outcomes for people with autism and other neuropsychiatric (NPD) disorders and neurodevelopmental conditions (NDD). My primary research interest has focused on combining cutting-edge psychometric procedures and a big data approach to better understand structure of clinical phenotypes across autism and other NPD and NDD and on using this knowledge to improve existing and develop new clinical assessments that are more effective for screening and diagnosis, tracking the natural and treatment-related symptom progression and for use in genetic and neurobiological studies. In addition to my focus on the development of outcome measures, I have collaborated with leading psychopathology researchers and groups in the United States, Europe and Australia on numerous projects spanning a range of topics including genetics, treatment and employment, with a particular focus on understanding risk and resilience factors underpinning poor mental health outcomes in adolescents and adults. Most recently, through several competitively funded projects, I have led the statistical analyses to uncover the latent structure of social and communication and restricted and repetitive behaviors (RRB) clinical phenotypes across NPD and NDD. These findings have enabled us to (i) start capturing and characterizing a highly variable social functioning phenotype across a range of disorders and understanding mechanisms underpinning this variability, (ii) combine phenotypic and genetic units of analyses to advance our understanding of the genetic architecture of RRB, and (iii) focus on identification and characterization of subgroups of individuals that share distinct symptom profiles and demonstrate clinical utility and neurobiological validity. Importantly, this work has provided key information for developing a programmatic line of research aimed at developing novel, comprehensive assessment protocols that combine parent and clinician reports, objective functioning indicators and incorporate state-of-the-art psychometric, mobile and connected technologies and procedures.
I am a co-director of the recently established Program for Psychometrics and Measurement-Based Care (https://med.stanford.edu/sppmc.html) that aims to bring together world-leading expertise in clinical science, psychometrics, and big data analytics to bridge the gap between the science of measurement development and clinical practice and bring improvements to both clinical care and research. -
Alexander Michael Vezeridis, MD, PhD
Assistant Professor of Radiology (Interventional Radiology)
BioAlexander Vezeridis MD, PhD is an Assistant Professor of Radiology at Stanford University School of Medicine, and a physician-scientist specializing in Interventional Radiology. His clinical expertise includes interventional oncology, biliary disease and endoscopy, venous disease, portal hypertension, urologic interventions, women’s and men’s health interventions, and general vascular/interventional radiology.
Dr. Vezeridis is an active researcher with expertise in translational techniques in engineering to make image-guided interventions safer and more effective for patients.
Dr. Vezeridis obtained his undergraduate, MD, and PhD degrees from Boston University. He completed a two year post-doctoral training at UC San Diego in ultrasound molecular imaging under the auspices of the Cancer Researchers in Nanotechnology (CRIN) R25T, followed by residency and fellowship at UC San Diego.
Dr. Vezeridis is highly committed to training the next generation, including students, residents, fellows, and engineering graduate students through co-directing Bio301B.
Dr. Vezeridis has a strong interest in medical device development and commercialization, and completed the Stanford Biodesign Faculty Fellowship. -
Hannes Vogel MD
Professor of Pathology and of Pediatrics (Pediatric Genetics) and, by courtesy, of Neurosurgery, Neurology and Neurological Sciences and of Comparative Medicine
Current Research and Scholarly InterestsMy research interests include nerve and muscle pathology, mitochondrial diseases, pediatric neurooncology, and transgenic mouse pathology.
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Ayelet Voskoboynik
Assistant Professor (Research) of Biology
Current Research and Scholarly InterestsWe study the mechanisms by which animals differentiate between self and non-self, and how stem cells and immune cells coordinate to form tissues during development, regeneration, transplantation, and aging. By leveraging the natural stem cell-mediated development, regeneration, and chimerism in the colonial chordate Botryllus schlosseri, we investigate stem cell competition and the decline in regenerative capacity during aging.
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Anthony Wagner
Lucie Stern Professor in the Social Sciences
Current Research and Scholarly InterestsCognitive neuroscience of memory and cognitive/executive control in young and older adults. Research interests include encoding and retrieval mechanisms; interactions between declarative, nondeclarative, and working memory; forms of cognitive control; neurocognitive aging; functional organization of prefrontal cortex, parietal cortex, and the medial temporal lobe; assessed by functional MRI, scalp and intracranial EEG, and transcranial magnetic stimulation.
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Rebecca D. Walker
Clinical Associate Professor, Emergency Medicine
Current Research and Scholarly InterestsInterests include international development in emergency care, healthcare disparities, wilderness medicine, human rights, administration
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Greg Walton
Professor of Psychology
Current Research and Scholarly InterestsMy research examines the nature of self and identity, often in the context of academic motivation and achievement. I'm interested in social factors relevant to motivation, in stereotypes and group differences in school achievement, and in social-psychological interventions to raise achievement and narrow group differences.
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Brian A. Wandell
Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and of Education
Current Research and Scholarly InterestsModels and measures of the human visual system. The brain pathways essential for reading development. Diffusion tensor imaging, functional magnetic resonance imaging and computational modeling of visual perception and brain processes. Image systems simulations of optics and sensors and image processing. Data and computation management for reproducible research.
