Wu Tsai Human Performance Alliance
Showing 51-100 of 211 Results
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Antoine Falisse
Postdoctoral Scholar, Bioengineering
BioDr. Falisse is a postdoctoral fellow in Bioengineering working on computational approaches to study human movement disorders. He primarily uses optimization methods, biomechanical modeling, and data from various sources (wearables, videos, medical images) to get insights into movement abnormalities and design innovative treatments and rehabilitation protocols.
Dr. Falisse received his PhD from KU Leuven (Belgium) where he worked on modeling and simulating the locomotion of children with cerebral palsy. His research was supported by the Research Foundation Flanders (FWO) through a personal fellowship. Dr. Falisse received several awards for his PhD work, including the David Winter Young Investigator Award, the Andrzej J. Komor Young Investigator Award, the VPHi Thesis Award in In Silico Medicine, and the KU Leuven Research Council Award in Biomedical Sciences. -
Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
BioChelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University, and the William George and Ida Mary Hoover Faculty Fellow. Professor Finn's research interests lie in the ability to enable robots and other agents to develop broadly intelligent behavior through learning and interaction. Her work lies at the intersection of machine learning and robotic control, including topics such as end-to-end learning of visual perception and robotic manipulation skills, deep reinforcement learning of general skills from autonomously collected experience, and meta-learning algorithms that can enable fast learning of new concepts and behaviors. Professor Finn received her Bachelors degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, an NSF graduate fellowship, a Facebook fellowship, the C.V. Ramamoorthy Distinguished Research Award, and the MIT Technology Review 35 under 35 Award, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across three universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.
Website: https://ai.stanford.edu/~cbfinn -
Michael Fischbach
Associate Professor of Bioengineering and of Medicine (Microbiology and Immunology)
Current Research and Scholarly InterestsThe human microbiome is linked to a range of phenotypes in the host, but it remains difficult to test causality and explore the mechanisms of these interactions. Our lab focuses on two research areas that share a common goal of studying host-microbiota interactions at the level of molecular mechanism:
1) Technology development. Much of what we know about biology has been learned by deleting individual genes from mice, worms, flies and yeast. The ability to do single-strain and single-gene deletion in the microbiome would be transformative but does not yet exist. We are developing technology in three areas to make this possible:
Synthetic ecology: There is a pressing need for model systems for the microbiome that are defined, but of an order of complexity that approaches the native state. Key experiments in the field often show that a host phenotype can be transferred to a germ-free mouse via fecal transplant. If these phenomena could be recapitulated with a defined, high-complexity community, then reductionist experiments to probe mechanism would be possible. We are developing the technology required to build highly complex defined communities (100-200 bacterial species), make them stable upon transplantation into mice, and probe their function in vitro and in vivo.
Genetics: It is difficult to probe mechanism without genetics, and genetic tools exist for only ~10% of the bacterial species in the gut and skin microbiome. We are developing technologies that will make it possible to delete and insert genes, and build mutant libraries, in many of the most common bacterial strains in the gut and skin microbiome.
Computation: In previous work from the lab, we have developed computational algorithms that identify small-molecule-producing genes in bacterial genomes. In current work, we are devising algorithms for genome mining that are specific to the microbiome, and new tools for predicting the chemical structures of small molecules from untargeted metabolomics data.
2) Molecular mechanisms. Many of the early findings in microbiome research are correlative or associative. We are applying the tools described above to explore the mechanisms underlying these phenomena:
Small molecules: Our lab has had a long-standing interest in small molecules from the microbiota. These include: 1) host-derived molecules metabolized by the microbiome, like bile acids; 2) characteristic components of the bacterial membrane and cell wall, including LPS and capsular polysaccharides; and 3) hundreds of other diffusible small molecules (e.g., the products of polysaccharide and amino acid metabolism) that are present in the bloodstream at high concentrations. Our work in this area seeks to establish the mechanisms by which these molecules modulate host biology, especially by deleting them one at a time in the background of a complex community; and to discover new microbiome-derived metabolites present in the bloodstream and host tissues.
Ecology of complex communities: Synthetic ecology at the 100+ strain scale is entirely unexplored, and the emergent properties of complex communities are not well understood. Our work in this area seeks to understand basic principles outlined by the following questions: How many meaningful interactions exist in a community of hundreds of strains? What constitutes a niche, molecularly and spatially, and how do strains map to niches? What are the molecular correlates of stability, and how does a community reconfigure in response to a perturbation? How rare or common are stable states, and how predictable is the process by which a consortium will evolve toward a stable state? To what extent do priority effects (early colonists and events) determine the outcome of ecosystem development? Can the results of ecosystem competition be predicted or engineered? -
Michael Fredericson, MD
Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsMy research focuses on the etiology, prevention, and treatment of overuse sports injuries in athletes and lifestyle medicine practices for improved health and longevity.
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Michael T. Freehill, MD, FAOA
Associate Professor of Orthopaedic Surgery
BioDr. Freehill is a board-certified, double fellowship-trained specialist in orthopaedic surgery with a sub-specialty certification in sports medicine. His concentration is in shoulder and elbow. Dr. Freehill is a team physician for the Stanford University athletics program and head physician for the Stanford University baseball team. Dr. Freehill also teaches in the Department of Orthopaedic Surgery at Stanford University School of Medicine.
Dr. Freehill’s practice focuses on all shoulder conditions. He treats rotator cuff tears, shoulder instability, shoulder arthritis, sports shoulder, arthropathy, complex shoulder pathology, and sports related shoulder injury. In addition, he is also passionate about sports- related elbow injuries, with an emphasis on thrower’s elbow.
Professional and amateur athletes, as well as non-athletes, come to Dr. Freehill for expert care. His sports medicine training and specialization in shoulder replacement procedures enable him to treat patients across the lifespan. Depending on factors including the patient’s condition and occupation, he may recommend treatment ranging from non-operative solutions (such as physical therapy) to cutting-edge biologics procedures or complex surgery.
In addition to his positions within the Stanford University athletics program, Dr. Freehill serves as assistant team physician for the Oakland A’s. Previously, he was a team physician for the Detroit Tigers and the Winston-Salem Dash (affiliated with the Chicago White Sox); he assisted with the Baltimore Orioles. He has also served as Director of Sports Medicine for Wake Forest University Athletics.
As executive director of the Stanford Baseball Science CORE, Dr. Freehill draws on his previous experience as a professional baseball player to help athletes of all skill levels. In the lab, he conducts cutting edge research on the biomechanics of overhead throwers in order to support advances in throwing performance. He has conducted a study on pitch counts in adolescent players funded by Major League Baseball. Dr. Freehill was also awarded a research grant from the National Institutes of Health to investigate stromal vascular fractionated mesenchymal cells and their potential for healing rotator cuff tendon tears.
Dr. Freehill has pioneered the use of some of the latest techniques and technology for leading-edge care. Among the advanced technologies he utilizes is a virtual reality (VR) system that enables him to perform a simulated shoulder arthroplasty procedure prior to entering the operating room with a patient. The system also enables him to predict and order customized implants if needed, which is believed to enable a more positive outcome for patients.
Peer-reviewed articles authored by Dr. Freehill explore rotator cuff injuries, shoulder arthroplasty, baseball-related injuries and performance interests, and more. His work has been featured in the American Journal of Sports Medicine, the Orthopedic Journal of Sports Medicine, Journal of Shoulder and Elbow Surgery, Arthroscopy, and elsewhere. He has written numerous book chapters and made over 200 presentations at conferences around the world.
Dr. Freehill’s honors include an Orthopaedic Residency Research Award while at Johns Hopkins University. He is also a Neer Award winner, denoting the highest research award selected annually by the American Shoulder and Elbow Society.
Currently, he serves on the Medical Publishing Board of Trustees for the American Orthopaedic Society for Sports Medicine. He is a member of the American Orthopaedic Association, and the Major League Baseball Team Physician Association. He is a committee member for the American Shoulder and Elbow Surgeons Society, International Congress of Arthroscopy and Sports Traumatology, the Arthroscopy Association of North America, and the American Academy of Orthopaedic Surgeons. -
Lawrence Fung MD PhD
Assistant Professor of Psychiatry and Behavioral Sciences (Major Laboratories & Clinical Translational Neurosciences Incubator)
Current Research and Scholarly InterestsDr. Lawrence Fung an assistant professor in the Department of Psychiatry and Behavioral Sciences at Stanford University. He is the director of the Stanford Neurodiversity Project, director of the Neurodiversity Clinic, and principal investigator at the Fung Lab. His work, which focuses on autism and neurodiversity, traverses from multi-modal neuroimaging studies to new conceptualization of neurodiversity and its application to clinical, education, and employment settings. His lab advances the understanding of neural bases of human socio-communicative and cognitive functions by using novel neuroimaging and bioanalytical technologies. Using community-based participatory research approach, his team devises and implements novel interventions to improve the lives of neurodiverse individuals by maximizing their potential and productivity. His work has been supported by various agencies including the National Institutes of Health, Autism Speaks, California Department of Developmental Services, California Department of Rehabilitation, as well as philanthropy. He received his PhD in chemical engineering from Cornell University, and MD from George Washington University. He completed his general psychiatry residency, child and adolescent psychiatry fellowship, and postdoctoral research fellowship at Stanford.
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Ansgar Furst
Clinical Associate Professor (Affiliated), Psych/Public Mental Health & Population Sciences
Staff, Psych/Public Mental Health & Population SciencesBioDr. Furst is a Clinical Associate Professor (affiliated) of Psychiatry and Behavioral Sciences and of Neurology and Neurological Sciences at Stanford University School of Medicine. He is a Principal Investigator and Director of the California War Related Illness and Injury Study Center (WRIISC) Advanced Fellowship Post-Doctoral program and Associate Director of Neuroimaging. He is also a Senior Research Scientist at the Polytrauma System of Care (PSC) at VA Palo Alto Health Care System. Dr. Furst serves as Associate Editor for the journal Frontiers in Neurology and is a member of the editorial board of NEUROLOGY. His research focuses on diagnostics and interventions related to traumatic brain injury, sleep, pain and Alzheimer's disease.
For more information please visit:
https://med.stanford.edu/furstlab.html -
Xiaojing Gao
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.
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Christopher Gardner
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
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Justin Gardner
Associate Professor of Psychology
On Leave from 01/01/2023 To 06/30/2023Current 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.
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Olivier Gevaert
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.
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Nicholas Giori MD, PhD
Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsOsteoarthritis
Medical Device Development -
Garry Gold
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.
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Andrea Goldstein-Piekarski
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. -
Gerald Grant, MD, FACS
Botha Chan Endowed Professor
Current Research and Scholarly InterestsDr. Grant directs a Blood-brain Barrier Translational Laboratory focusing on enhancing drug delivery to brain tumors in children.
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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.
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James Gross
Ernest R. Hilgard Professor, Professor of Psychology and, by courtesy, of Philosophy
Current Research and Scholarly InterestsI am interested in emotion and emotion regulation. My research employs behavioral, physiological, and brain measures to examine emotion-related personality processes and individual differences. My current interests include emotion coherence, specific emotion regulation strategies (reappraisal, suppression), automatic emotion regulation, and social anxiety.
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Hyowon Gweon
Associate Professor of Psychology
BioHyowon (Hyo) Gweon (she/her) is an Associate Professor in the Department of Psychology. As a leader of the Social Learning Lab, Hyo is broadly interested in how humans learn from others and help others learn: What makes human social learning so powerful, smart, and distinctive? Taking an interdisciplinary approach that combines developmental, computational, and neuroimaging methods, her research aims to explain the cognitive underpinnings of distinctively human learning, communication, and prosocial behaviors.
Hyo received her PhD in Cognitive Science (2012) from MIT, where she continued as a post-doc before joining Stanford in 2014. She has been named as a Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019); she is a recipient of the APS Janet Spence Award for Transformative Early Career Contributions (2020), Jacobs Early Career Fellowship (2020), James S. McDonnell Scholar Award for Human Cognition (2018), APA Dissertation Award (2014), and Marr Prize (best student paper, Cognitive Science Society 2010). -
Nicholas Haber
Assistant Professor of Education and, by courtesy, of Computer Science
Current Research and Scholarly InterestsI use AI models of of exploratory and social learning in order to better understand early human learning and development, and conversely, I use our understanding of early human learning to make robust AI models that learn in exploratory and social ways. Based on this, I develop AI-powered learning tools for children, geared in particular towards the education of those with developmental issues such as the Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder, in the mold of my work on the Autism Glass Project. My formal graduate training in pure mathematics involved extending partial differential equation theory in cases involving the propagation of waves through complex media such as the space around a black hole. Since then, I have transitioned to the use of machine learning in developing both learning tools for children with developmental disorders and AI and cognitive models of learning.
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Francois Haddad
Clinical Professor, Medicine - Cardiovascular Medicine
BioDr. Francois Haddad, MD is a Clinical Professor of Medicine that specializes in the field of cardio-vascular imaging, pulmonary hypertension, advanced heart failure and transplantation. Dr. Haddad has over 18 years of practice in the field of cardiology. He directs Stanford Cardiovascular Institute Biomarker and Phenotypic Core Laboratory dedicated to translational studies in cardiovascular medicine. The laboratory focuses on (1) identifying early biomarkers of heart failure and aging, (2) bioengineering approaches to cardiovascular disease modeling and (3) novel informatic approach for the detection and risk stratification of disease. He is involved is several precision medicine initiatives in health including the Project Baseline, the Integrated Personalized Omics Profiling Initiative, the Athletic screening program at Stanford and the Strong-D cardiac rehabilitation initiative in individuals with diabetes mellitus.
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Lou Halamek
Professor of Pediatrics (Neonatology) and, by courtesy, of Obstetrics and Gynecology
Current Research and Scholarly Interests1. development of hospital operations centers coupled with sophisticated simulation capabilities
2. re-creation of near misses and adverse events
3. optimizing human and system performance during resuscitation
4. optimizing pattern recognition and situational awareness at the bedside
5. evaluation and optimization of debriefing
6. patient simulator design -
Nicos Haralabidis
Postdoctoral Scholar, Bioengineering
BioMy research interests lie within both sports and clinical biomechanics applications. I rely upon merging conventional biomechanical in vivo measurements together with state-of-the-art musculoskeletal modeling and optimal control simulation approaches. The integrative approach I take enables me to understand how an individual may run faster, jump further, walk following surgery or intervention, and simultaneously estimate internal body dynamics noninvasively. As a Postdoctoral Research Scholar within the Wu Tsai Human Performance Alliance I aim to explore how stochastic optimal control and reinforcement learning methods can be applied to further our understanding of sporting performance.
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Brian A. Hargreaves
Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering and of Bioengineering
On Partial Leave from 02/01/2023 To 03/31/2023Current Research and Scholarly InterestsI am interested in magnetic resonance imaging (MRI) applications and augmented reality applications in medicine. These include abdominal, breast and musculoskeletal imaging, which require development of faster, quantitative, and more efficient MRI methods that provide improved diagnostic contrast compared with current methods. My work includes novel excitation schemes, efficient imaging methods and reconstruction tools and augmented reality in medicine.
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Sarah Heilshorn
Director, Geballe Laboratory for Advanced Materials (GLAM), Professor of Materials Science and Engineering and, by courtesy, of Bioengineering and of Chemical Engineering
Current Research and Scholarly InterestsProtein engineering
Tissue engineering
Regenerative medicine
Biomaterials -
H. Craig Heller
Lorry I. Lokey/Business Wire Professor
Current Research and Scholarly InterestsNeurobiology of sleep, circadian rhythms, regulation of body temperature, mammalian hibernation, and human exercise physiology. Currently applying background in sleep and circadian neurobiology the understanding and correcting the learning disability of Down Syndrome.
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Jaimie Henderson, MD
John and Jene Blume - Robert and Ruth Halperin Professor, Professor of Neurosurgery and, by courtesy, of Neurology
Current Research and Scholarly InterestsMy research interests encompass several areas of stereotactic and functional neurosurgery, including frameless stereotactic approaches for therapy delivery to deep brain nuclei; cortical physiology and its relationship to normal and pathological movement; brain-computer interfaces; and the development of novel neuromodulatory techniques for the treatment of movement disorders, epilepsy, pain, and other neurological diseases.
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Jennifer Hicks
Deputy Director, Wu Tsai Human Performance Alliance
Current Role at StanfordDeputy Director, Wu Tsai Human Performance Alliance at Stanford
Director of Research, Mobilize Center
Director of Research, Restore Center
Research and Development Manager, OpenSim Project -
SM Hadi Hosseini
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly InterestsOur lab’s research portfolio crosses multiple disciplines including computational neuropsychiatry, cognitive neuroscience, multimodal neuroimaging and neurocognitive rehabilitation. Our computational neuropsychiatry research mainly involves investigating alterations in the organization of connectome in various neurodevelopmental and neurocognitive disorders using state of the art neuroimaging techniques (fMRI, sMRI, DWI, functional NIRS) combined with novel computational methods (graph theoretical and multivariate pattern analyses).
The ultimate goal of our research is to translate the findings from computational neuropsychiatry research toward developing personalized interventions. We have been developing personalized interventions that integrate computerized cognitive rehabilitation, real-time functional brain imaging and neurofeedback, as well as virtual reality (VR) tailored toward targeted rehabilitation of the affected brain networks in patients with neurocognitive disorders. -
KC Huang
Professor of Bioengineering and of Microbiology and Immunology
Current Research and Scholarly InterestsHow do cells determine their shape and grow?
How do molecules inside cells get to the right place at the right time?
Our group tries to answer these questions using a systems biology approach, in which we integrate interacting networks of protein and lipids with the physical forces determined by the spatial geometry of the cell. We use theoretical and computational techniques to make predictions that we can verify experimentally using synthetic, chemical, or genetic perturbations. -
Ngan F. Huang
Associate Professor of Cardiothoracic Surgery (Cardiothoracic Surgery Research) and, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsDr. Huang's laboratory aims to understand the chemical and mechanical interactions between extracellular matrix (ECM) proteins and pluripotent stem cells that regulate vascular and myogenic differentiation. The fundamental insights of cell-matrix interactions are applied towards stem cell-based therapies with respect to improving cell survival and regenerative capacity, as well as engineered vascularized tissues for therapeutic transplantation.
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Andrew D. Huberman
Associate Professor of Neurobiology and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly Interests1) We study neural regeneration with the goal of developing treatments to prevent and reverse vision loss. (e.g., Huberman, Nature 2020; Laha and Huberman, Science, 2017; Lim et al., Nature Neuroscience, 2016).
2) We are parsing the neural circuits for anxiety, and visually-driven autonomic arousal, (e.g., Salay et al., Nature, 2018; Yilmaz-Balban et al., Current Biology, 2021). -
Doug James
Professor of Computer Science and, by courtesy, of Music
Current Research and Scholarly InterestsComputer graphics & animation, physics-based sound synthesis, computational physics, haptics, reduced-order modeling
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Deborah Kado
Professor of Medicine (Primary Care and Population Health) and, by courtesy, of Epidemiology and Population Health
BioDr. Kado is a board-certified, fellowship-trained doctor specializing in geriatrics. She serves as co-director of the Stanford Longevity Center. She is a professor of medicine and co-chief of the Geriatric Section of the Department of Medicine, Division of Primary Care and Population Health.
For each patient, Dr. Kado prepares a personalized care plan. Her objective is to help all individuals maintain the best possible health and quality of life as they age.
A special interest of Dr. Kado is bone health. She has conducted extensive research focused on osteoporosis and the related disorder hyperkyphosis.
Since joining the UCLA faculty in 2000, she has received continuous funding for her research from the National Institutes of Health (NIH).
She has over 100 peer-reviewed publications of her research findings in the Journal of Bone and Mineral Research, Osteoporosis International, Journal of Gerontology and Medical Sciences, Journal of Geriatric Oncology, Nature Communications, and other peer-reviewed journals.
In 2007, she defined hyperkyphosis as a new geriatric syndrome. Her discoveries in this field were first featured in the American College or Physician’s premier internal medicine journal Annals of Internal Medicine. Later, they also appeared in a dedicated chapter in UpToDate, the electronic resource providing evidence-based clinical decision support for doctors worldwide.
Prior to coming to Stanford, Dr. Kado practiced at UC San Diego where she started a dedicated osteoporosis clinic for patient care and research. She later broadened her research interests beyond musculoskeletal aging to study other aging-related topics such as the gut microbiome in older men and the effects of cancer treatments on aging in newly diagnosed breast cancer patients.
Dr. Kado is a California native. She trained at UCSF and UCLA. She also earned a Master of Science degree in epidemiology at the UCLA School of Public Health, sponsored by the John Hartford Foundation.
She is a member of the American Geriatrics Society, American Society of Bone and Mineral Research, Gerontological Society of America, The Endocrine Society, and other professional organizations. She co-chairs the NIH National Institute on Aging Workshop for the American Society of Bone and Mineral Research. She also participates in the Bone Health Working Group of the Society for Women’s Health Research. -
Robin Kamal MD MBA
Associate Professor of Orthopaedic Surgery
On Leave from 03/01/2023 To 03/31/2023Current Research and Scholarly InterestsWrist and Elbow Injuries and Quality Measures in Orthopaedic Surgery
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Monroe Kennedy III
Assistant Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy research focus is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. My research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. My Assistive Robotics and Manipulation lab focuses heavily on both the analytical and experimental components of assistive technology design.
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Khizer Khaderi MD, MPH
Clinical Associate Professor, Ophthalmology
BioDr. Khizer Khaderi is Clinical Associate Professor at the Byers Eye Institute at Stanford University. Khaderi is the Director/Founder of the Stanford Human Perception Laboratory (HPL) and the Stanford Vision Performance Center (VPC), and faculty at the Stanford Institute for Human-Centered AI.
Khaderi is a renowned Neuro-Ophthalmic surgeon, technologist and futurist. He founded Vizzario Inc, a perceptual AI company, spun out from HPL. Khaderi has extensive domain expertise in artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality (MxR), wearables, applied neuroscience, human factors, and human-machine interfaces/interaction. His research interests include developing personalized human intelligent systems for the metaverse based on the human brain and sensory systems, developing technologies to optimize human performance, and combining biological and computational principles to expand our capabilities in research, clinical practice, and everyday life. Dr. Khaderi's approach to advance research interests and develop practical applications for everyday use is building collaborative partnerships across academia and industry.
Dr. Khaderi’s experience across industry sectors include consumer electronics, gaming, retail, life science, sports/Esports health care, Pharma, e-commerce, to name a few. He has developed novel technologies in these areas, and generated multiple invention patents. Selected as a “40 under 40”, he contributed to President Obama’s Council of Advisors on Science and Technology regarding vision technology and the aging population. He also advises multiple companies, venture firms and organizations including the Global Esports Federation, Magic Leap, Riot Games, Intel, Activision, Unity, Epic Games, Google, FB, Microsoft, Apple, NBA, Aerie Pharma, the World Health Organization, and the World Bank. -
Oussama Khatib
Weichai Professor and Professor, by courtesy, of Electrical Engineering
BioRobotics research on novel control architectures, algorithms, sensing, and human-friendly designs for advanced capabilities in complex environments. With a focus on enabling robots to interact cooperatively and safely with humans and the physical world, these studies bring understanding of human movements for therapy, athletic training, and performance enhancement. Our work on understanding human cognitive task representation and physical skills is enabling transfer for increased robot autonomy. With these core capabilities, we are exploring applications in healthcare and wellness, industry and service, farms and smart cities, and dangerous and unreachable settings -- deep in oceans, mines, and space.
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Peter S. Kim
Virginia and D. K. Ludwig Professor of Biochemistry
Current Research and Scholarly InterestsWe are studying the mechanism of viral membrane fusion and its inhibition by drugs and antibodies. We use the HIV envelope protein (gp120/gp41) as a model system. Some of our studies are aimed at creating an HIV vaccine. We are also characterizing protein surfaces that are referred to as "non-druggable". These surfaces are defined empirically based on failure to identify small, drug-like molecules that bind to them with high affinity and specificity.
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Abby C. King
David and Susan Heckerman Professor and Professor of Epidemiology & Population Health and of Medicine (Stanford Prevention Research Center)
Current Research and Scholarly InterestsMy interests include applications of behavioral theory and social ecological approaches to achieve large scale changes impacting chronic disease prevention and control; expanding the reach and translation of evidence-based interventions through state-of-the-art technologies; exploring social and physical environmental influences on health; applying community participatory research perspectives to address health disparities; and policy-level approaches to health promotion/disease prevention.
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Joshua W. Knowles
Associate Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsGenetic basis of coronary disease
Genetic basis of insulin resistance
Familial Hypercholesterolemia (FH) -
Brian Knutson
Professor of Psychology
Current Research and Scholarly InterestsMy lab and I seek to elucidate the neural basis of emotion (affective neuroscience), and explore implications for decision-making (neuroeconomics) and psychopathology (neurophenomics).
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Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
