Wu Tsai Human Performance Alliance
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Assistant Professor of Chemical Engineering
Current Research and Scholarly InterestsHow do we design biological systems as “smart medicine” that sense patients’ states, process the information, and respond accordingly? To realize this vision, we will tackle fundamental challenges across different levels of complexity, such as (1) protein components that minimize their crosstalk with human cells and immunogenicity, (2) biomolecular circuits that function robustly in different cells and are easy to deliver, (3) multicellular consortia that communicate through scalable channels, and (4) therapeutic modules that interface with physiological inputs/outputs. Our engineering targets include biomolecules, molecular circuits, viruses, and cells, and our approach combines quantitative experimental analysis with computational simulation. The molecular tools we build will be applied to diverse fields such as neurobiology and cancer therapy.
Rehnborg Farquhar Professor
Current Research and Scholarly InterestsThe role of nutrition in individual and societal health, with particular interests in: plant-based diets, differential response to low-carb vs. low-fat weight loss diets by insulin resistance status, chronic disease prevention, randomized controlled trials, human nutrition, community based studies, Community Based Participatory Research, sustainable food movement (animal rights and welfare, global warming, human labor practices), stealth health, nutrition policy, nutrition guidelines
Associate Professor of PsychologyOn Leave from 01/01/2023 To 06/30/2023
Current Research and Scholarly InterestsHow does neural activity in the human cortex create our sense of visual perception? We use a combination of functional magnetic resonance imaging, computational modeling and analysis, and psychophysical measurements to link human perception to cortical brain activity.
Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsMy lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
Nicholas Giori MD, PhD
Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsOsteoarthritis
Medical Device Development
Stanford Medicine Professor of Radiology and Biomedical Imaging
Current Research and Scholarly InterestsMy primary focus is application of new MR imaging technology to musculoskeletal problems. Current projects include: Rapid MRI for Osteoarthritis, Weight-bearing cartilage imaging with MRI, and MRI-based models of muscle. We are studying the application of new MR imaging techniques such as rapid imaging, real-time imaging, and short echo time imaging to learn more about biomechanics and pathology of bones and joints. I am also interested in functional imaging approaches using PET-MRI.
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Sleep Medicine)
BioDr. Goldstein-Piekarski directs the Computational Psychiatry, Neuroscience, and Sleep Laboratory (CoPsyN Sleep Lab) as an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and PI within the Sierra-Pacific Mental Illness Research, Education and Clinical Center (MIRECC) at the Palo Alto VA. She received her PhD in 2014 at the University of California, Berkeley where she studied the consequences of sleep on emotional brain function. She then completed a Postdoctoral fellowship at Stanford focusing on understanding the brain basis of anxiety and depression.
As the director of the CoPsyN Sleep Lab she is developing a translational, interdisciplinary research program that combines human neuroimaging, high-density EEG sleep recording, and computational modeling to understand the neural mechanisms through which sleep disruption contributes to affective disorders, particularly depression, across the lifespan. The ultimate goals of this research are to (1) develop mechanistically-informed interventions that directly target aspects of sleep and brain function to prevent and treat affective disorders and (2) identify novel biomarkers which can identify which individuals are most likely to experience improved mood following targeted sleep interventions.
This work is currently supported by The KLS Foundation, a R01 from National Institute of Mental Health, and a R61 from the National Institute of Mental Health.
Eric R. Gross
Associate Professor of Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsA part of the laboratory studies organ injury and how common genetic variants may affect the response to injury caused by surgery; particularly aldehydes. Aldehyde accumulation can cause many post-operative complications that people experience during surgery- whether it be reperfusion injury, post-operative pain, cognitive dysfunction, or nausea. The other part of the lab studies the impact of e-cigarettes and alcohol, when coupled with genetics, on the cardiopulmonary system.