Wu Tsai Human Performance Alliance
Showing 261-270 of 298 Results
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Daniel Tartakovsky
Professor of Energy Science Engineering
Current Research and Scholarly InterestsEnvironmental fluid mechanics, Applied and computational mathematics, Biomedical modeling.
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Peter Tass
Professor of Neurosurgery
BioDr. Peter Tass investigates and develops neuromodulation techniques for understanding and treating neurologic conditions such as Parkinson’s disease, epilepsy, dysfunction following stroke and tinnitus. He creates invasive and non-invasive therapeutic procedures by means of comprehensive computational neuroscience studies and advanced data analysis techniques. The computational neuroscience studies guide experiments that use clinical electrophysiology measures, such as high density EEG recordings and MRI imaging, and various outcome measures. He has pioneered a neuromodulation approach based on thorough computational modelling that employs dynamic self-organization, plasticity and other neuromodulation principles to produce sustained effects after stimulation. To investigate stimulation effects and disease-related brain activity, he focuses on the development of stimulation methods that cause a sustained neural desynchronization by an unlearning of abnormal synaptic interactions. He also performs and contributes to pre-clinical and clinical research in related areas.
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Suzanne Tharin
Associate Professor of Neurosurgery
Current Research and Scholarly InterestsThe long-term goal of my research is the repair of damaged corticospinal circuitry. Therapeutic regeneration strategies will be informed by an understanding both of corticospinal motor neuron (CSMN) development and of events occurring in CSMN in the setting of spinal cord injury. MicroRNAs are small, non-coding RNAs that regulate the expression of “suites” of genes. The work in my lab seeks to identify microRNA controls over CSMN development and over the CSMN response to spinal cord injury.
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Mickey Trockel
Professor of Psychiatry and Behavioral Sciences
BioMickey Trockel is the Director of Evidence Based Innovation for the Stanford University School of Medicine WellMD Center. His development of novel measurement tools has led to growing focus on professional fulfillment as a foundational aim of efforts to promote physician well-being. His scholarship also identifies interpersonal interactions at work as a modifiable core determinate of an organizational culture that cultivates wellness.
Dr. Trockel serves as the chair of the Physician Wellness Academic Consortium Scientific Board, which is a group of academic medical centers working together to improve physician wellbeing. The consortium sites have adopted the physician wellness assessment system Dr. Trockel and his colleagues have developed, which offers longitudinal data for benchmarking and natural experiment based program evaluation. His previous research included focus on college student health, and evaluation of the efficacy of a national evidence based psychotherapy dissemination effort. His more recent scholarship has focused on physician wellbeing. He is particularly interested in developing and demonstrating the efficacy of interventions designed to promote wellbeing by improving social culture determinants of wellbeing across student groups, employee work teams, or larger organizations. -
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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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.
As a noninvasive cardiologist 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 currently performs cardiac screening and consultations for Bay Area professional sports teams and the NCAA Division I athletes of Stanford University Athletics.
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, and the national meeting of the Heart Failure Society of America.
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 several 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.
