Wu Tsai Human Performance Alliance
Showing 241-260 of 272 Results
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Joseph D. Towles, PhD
Member, Wu Tsai Human Performance Alliance
BioTHIS SITE IS NO LONGER MAINTAINED BY ME AS OF 2022. PLEASE GO TO MY NEW SITE AT https://sites.google.com/swarthmore.edu/biomechanics
Joseph D Towles
Associate Professor of Engineering
Swarthmore College
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Joseph Towles is a Lecturer jointly appointed in the Mechanical Engineering and Bioengineering Departments at Stanford University. Joe’s teaching interests are in the areas of solid mechanics, neuromuscular biomechanics, dynamical systems and control, and engineering design. His scholarship interests are in the areas of neuromuscular biomechanics and educational practices in engineering.
A Mechanical Engineer by training, Joe earned his BS degree in Mechanical Engineering from the University of Maryland Baltimore County and his MS and PhD degrees both in Mechanical Engineering from Stanford University (1996-2003). Following graduate school, Joe was a research post-doctoral fellow and subsequently a research scientist and then a research assistant professor in neuromuscular biomechanics in the Sensory Motor Performance Program at the Rehabilitation Institute of Chicago and in the Physical Medicine and Rehabilitation Department at Northwestern University (2003-2012). Additionally, Joe was a research health scientist for the Rehabilitation R&D Service in the Department of Veterans Affairs (Hines, IL) during that time and later a scientist in the neuromuscular biomechanics lab in the Mechanical Engineering Department at the University of Wisconsin-Madison (2012-2014). At the time, Joe led projects that addressed the broad question of how to restore hand function (ability to grasp objects) following cervical spinal cord injury and hemiparetic stroke using experimental and computational techniques in biomechanics. As a complement to intensively teaching within the undergraduate and graduate curricula in Biomedical Engineering at the University of Wisconsin-Madison (2014-2018), and now teaching intensively and broadly within the undergraduate curricula of Mechanical Engineering and Bioengineering at Stanford, Joe's scholarship interests include both biomechanics and educational practices in engineering. Recent educational projects have investigated factors that influence K-12 students' engagement/interest in bioengineering, integration of CATME into an undergraduate mechanical engineering design course that enhances student experience and performance, analytical tool for improving intra- and inter-team communication in an engineering design course, and factors important for teaching undergraduate students how to identify healthcare needs worth pursuing in the context of health technology innovation efforts. -
Philip S. Tsao, PhD
Professor (Research) of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsOur primary interests are in the molecular underpinnings of vascular disease as well as assessing disease risk. In addition to targeted investigation of specific signaling molecules, we utilize global genomic analysis to identify gene expression networks and regulatory units. We are particularly interested in the role of microRNAs in gene expression pathways associated with disease.
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Scott Uhlrich
Research Engineer
Current Research and Scholarly InterestsExperimental biomechanical analysis of healthy and pathological human movement. Real-time biofeedback to modify motor control and kinematics.
Musculoskeletal modeling and simulation for estimating unmeasurable quantities during movement, like joint forces in individuals with osteoarthritis. Predictive musculoskeletal simulations to design rehabilitation interventions.
Computer vision, wearable sensing, and machine learning to develop tools that democratize biomechanical analysis and translate biomechanical interventions into clinical practice.
Quantitative MRI for analyzing the effect of non-surgical treatments for osteoarthritis on cartilage health. PET-MRI for analyzing relationships between the mechanical loading of tissue metabolic activity. -
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 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 several stem cell interrelated phenomena using the colonial chordate, Botryllus schlosseri. We use genetic, genomic, and cell biological approaches to investigate: The evolutionary molecular mechanisms that regulate the decline of tissue regenerative potential during aging and allogeneic stem cell competition in host.
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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.
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Adam Wang
Assistant Professor of Radiology and, by courtesy, of Electrical Engineering
BioMy research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. I am also the Director of the Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.
I completed my PhD in Electrical Engineering at Stanford, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoctoral fellowship at Johns Hopkins in the I-STAR Lab, developing reconstruction and registration methods for x-ray based image-guided surgery. I was then a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy, before returning to Stanford in 2018, where I now lead a comprehensive research program in advanced x-ray and CT imaging systems and methods, with funding from NIH, DOD, DOE, and industry partners. -
C. Jason Wang, MD, PhD
LCY: Tan Lan Lee Professor and Professor of Pediatrics (General Pediatrics) and of Health Policy
BioDr. Wang is the Director of Center for Policy, Outcomes and Prevention. Prior to coming to Stanford in 2011, he was a faculty member at Boston University Schools of Medicine and Public Health. His other professional experiences include working as a management consultant with McKinsey and Company and serving as the project manager for Taiwan's National Health Insurance Reform Task-force. His current interests include: 1) COVID-19 related policies; 2) developing tools for assessing and improving the value of healthcare; 3) facilitating the use of mobile technology in improving quality of care; 4) supporting competency-based medical education curriculum, and 5) engaging in healthcare delivery and payment reforms.
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Gordon Wetzstein
Associate Professor of Electrical Engineering and, by courtesy, of Computer Science
BioGordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems. Prof. Wetzstein is a Fellow of Optica and the recipient of numerous awards, including an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, an Electronic Imaging Scientist of the Year Award, an Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.
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Matthew Wheeler
Associate Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsTranslational research in rare and undiagnosed diseases. Basic and clinical research in cardiomyopathy genetics, mechanisms, screening, and treatment. Investigating novel agents for treatment of hypertrophic cardiomyopathy and new mechanisms in heart failure. Cardiovascular screening and genetics in competitive athletes, disease gene discovery in cardiomyopathy and rare disease. Informatics approaches to rare disease and multiomics. Molecular transducers of physical activity bioinformatics.
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Carl Wieman
Cheriton Family Professor and Professor of Physics and of Education, Emeritus
Current Research and Scholarly InterestsThe Wieman group’s research generally focuses on the nature of expertise in science and engineering, particularly physics, and how that expertise is best learned, measured, and taught. This involves a range of approaches, including individual cognitive interviews, laboratory experiments, and classroom interventions with controls for comparisons. We are also looking at how different classroom practices impact the attitudes and learning of different demographic groups.
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Leanne Williams
Vincent V.C. Woo Professor, Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator) and, by courtesy, of Psychology
Current Research and Scholarly InterestsA revolution is under way in psychiatry. We can now understand mental illness as an expression of underlying brain circuit disruptions, shaped by experience and genetics. Our lab is defining precision brain circuit biotypes for depression, anxiety and related disorders. We integrate large amounts of brain imaging, behavioral and clinical data and computational approaches. Biotypes are used in personalized intervention studies with selective drugs, neuromodulation and exploratory therapeutics.
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Nolan Williams
Associate Professor of Psychiatry and Behavioral Sciences (Major Laboratories & Clinical Translational Neurosciences Incubator) and, by courtesy, of Radiology (Neuroimaging and Neurointervention)
BioNolan Williams, M.D. is an Associate Professor of Psychiatry and Behavioral Sciences at Stanford University and Director of the Stanford Brain Stimulation Lab. The long-term goals of his research program are to develop innovative technologies and therapeutics capable of modulating the neural circuitry disrupted in mood disorders, OCD, and other neuropsychiatric conditions. His team has been developing neuroimaging-based approaches to precisely target therapeutic delivery and predict treatment responses to therapeutic neuromodulation and psychedelics. Dr. Williams earned his M.D. and completed his dual residencies in neurology and psychiatry at the Medical University of South Carolina (MUSC). Triple board-certified in general neurology, general psychiatry, as well as behavioral neurology and neuropsychiatry, Dr. Williams brings a comprehensive background in clinical neuroscience to his role as a clinically active neuropsychiatrist. His expertise extends to the development and implementation of novel therapeutics, including devices and novel compounds, for central nervous system illnesses.
Over the past decade, Dr. Williams’ laboratory alongside collaborators at Stanford University have pioneered multiple novel therapeutic and human neuroscience approaches. Notably, Stanford Accelerated Intelligent Neuromodulation Therapy (SAINT) is the world's first non-invasive, rapid-acting neuromodulation approach for treatment-resistant depression. SAINT received FDA Breakthrough Device Designation Status (2021) and FDA Clearance (2022) and is the first psychiatric treatment to be covered by Medicare New Technology Add-On Payment (NTAP). As of April 2024, SAINT has been reimbursed for patients suffering from severe depression within inpatient psychiatric units. The SAINT technology is being deployed both clinically and in research protocols in laboratories and hospitals worldwide. Dr. Williams also has an expertise in psychedelic medicines for neuropsychiatric illness and is the first investigator to conduct mechanistic clinical trials exploring the neurobiological effects of ibogaine.
His research accomplishments have garnered international recognition, earning prestigious awards from the Pritzker Neuropsychiatric Disorders Consortium, One Mind Institute, Wellcome Leap Foundation, International Brain Stimulation Conference, National Institute of Mental Health (Biobehavioral Research Award for Innovative New Scientists), Society of Biological Psychiatry (A. E. Bennett Award), along with multiple awards from the Brain Behavior Research Foundation (most notably the Gerald L. Klerman Award). His work has been featured in Scientific American, The New York Times, The Washington Post, USA Today, CBS Sunday Morning, and the TODAY Show. -
Jiajun Wu
Assistant Professor of Computer Science and, by courtesy, of Psychology
BioJiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from J.P. Morgan, Samsung, Amazon, and Meta.
