Wu Tsai Human Performance Alliance
Showing 81-100 of 349 Results
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Johannes C. Eichstaedt
Assistant Professor (Research) of Psychology
Current Research and Scholarly InterestsLarge Language Models and AI: use of LLMs for mental healthcare delivery and well-being, safety and bias evaluation; anticipating impacts of AI on society
Methods: Natural Language Processing & LLMs; data science; longitudinal methods, machine learning, and psychological assessment through AI
Mental and physical health: depression and anxiety; health psychology: heart disease and opioid addiction
Well-being: emotion, life satisfaction, and purpose, and their individual and societal causes -
Ekene Enemchukwu, MD, MPH, FACS, URPS
Associate Professor of Urology and, by courtesy, of Obstetrics and Gynecology (Urogynecology)
Current Research and Scholarly InterestsHealth Services Research in the areas of urinary incontinence and genitourinary syndrome of menopause, quality of life, patient outcomes, quality improvement, patient satisfaction, and shared decision making.
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Daniel Bruce Ennis
Professor of Radiology (Veterans Affairs) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsThe Cardiac MRI Group seeks to invent and validate methods to quantify cardiac performance. We develop methods to measure cardiac structure (DWI/DTI), function (tagging and DENSE), flow (PC-MRI), and remodeling (diffusion, T1-mapping, fat-water mapping) for pediatrics and adults.
Fundamental to our research is a set of tools for numerically optimizing gradient waveforms, Bloch simulations, and patient-specific 3D-printed cardiovascular structures connected to computer controlled flow pumps. -
Judith Ellen Fan
Assistant Professor of Psychology, by courtesy, of Education and of Computer Science
BioI direct the Cognitive Tools Lab (https://cogtoolslab.github.io/) at Stanford University. Our lab aims to reverse engineer the human cognitive toolkit — in particular, how people use physical representations of thought to learn, communicate, and solve problems. Towards this end, we use a combination of approaches from cognitive science, computational neuroscience, and artificial intelligence.
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Richard E. Fan
Clinical Assistant Professor, Urology
BioRichard E. Fan, Ph.D., is an engineer embedded in the Department of Urology in the Stanford School of Medicine.
Dr. Fan’s research relates to the development of clinically driven biomedical instrumentation and medical devices. He is interested in translational application of emerging technologies in the medical and surgical spaces, as well as the development of platforms to explore clinical and pre-clinical evaluation. His primary work is currently focused on image guided detection and treatment of prostate cancer, including MR-US fusion, focal therapies, embedded systems and robotics. -
Kayvon Fatahalian
Associate Professor of Computer Science
BioKayvon Fatahalian is an Associate Professor in the Computer Science Department at Stanford University. Kayvon's research focuses on the design of systems for real-time graphics, high-efficiency simulation engines for applications in entertainment and AI, and platforms for the analysis of images and videos at scale.
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Vivian Feig
Assistant Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioThe Feig lab aims to develop low-cost, noninvasive, and widely-accessible medical technologies that integrate seamlessly with the human body. We accomplish this by developing functional materials and devices with dynamic mechanical properties, leveraging chemistry and physics insights to engineer novel systems at multiple length scales. In pursuit of our goals, we maintain a strong emphasis on integrity and diversity, while nurturing the intellectual curiosity and holistic growth of our team members as researchers, communicators, and leaders.
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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 data, 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, the Presidential Early Career Award for Scientists and Engineers, and the MIT Technology Review 35 under 35 list, 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.
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Michael Fischbach
Liu (Liao) Family Professor
Current Research and Scholarly InterestsThe microbiome carries out extraordinary feats of biology: it produces hundreds of molecules, many of which impact host physiology; modulates immune function potently and specifically; self-organizes biogeographically; and exhibits profound stability in the face of perturbations. Our lab studies the mechanisms of microbiome-host interactions. Our approach is based on two technologies we recently developed: a complex (119-member) defined gut community that serves as an analytically manageable but biologically relevant system for experimentation, and new genetic systems for common species from the microbiome. Using these systems, we investigate mechanisms at the community level and the strain level.
1) Community-level mechanisms. A typical gut microbiome consists of 200-250 bacterial species that span >6 orders of magnitude in relative abundance. As a system, these bacteria carry out extraordinary feats of metabolite consumption and production, elicit a variety of specific immune cell populations, self-organize geographically and metabolically, and exhibit profound resilience against a wide range of perturbations. Yet remarkably little is known about how the community functions as a system. We are exploring this by asking two broad questions: How do groups of organisms work together to influence immune function? What are the mechanisms that govern metabolism and ecology at the 100+ strain scale? Our goal is to learn rules that will enable us to design communities that solve specific therapeutic problems.
2) Strain-level mechanisms. Even though gut and skin colonists live in communities, individual strains can have an extraordinary impact on host biology. We focus on two broad (and partially overlapping) categories:
Immune modulation: Can we redirect colonist-specific T cells against an antigen of interest by expressing it on the surface of a bacterium? How do skin colonists induce high levels of Staphylococcus-specific antibodies in mice and humans?
Abundant microbiome-derived molecules: By constructing single-strain/single-gene knockouts in a complex defined community, we will ask: What are the effects of bacterially produced molecules on host metabolism and immunology? Can the molecular output of low-abundance organisms impact host physiology?
3) Cell and gene therapy. We have begun two new efforts in mammalian cell and gene therapies. First, we are developing methods that enable cell-type specific delivery of genome editing payloads in vivo. We are especially interested in delivery vehicles that are customizable and easy to manufacture. Second, we have begun a comprehensive genome mining effort with an emphasis on understudied or entirely novel enzyme systems with utility in mammalian genome editing. -
Martin Fischer
Kumagai Professor in the School of Engineering and Senior Fellow at the Precourt Institute for Energy
BioProfessor Fischer's research goals are to improve the productivity of project teams involved in designing, building, and operating facilities and to enhance the sustainability of the built environment. His work develops the theoretical foundations and applications for virtual design and construction (VDC). VDC methods support the design of a facility and its delivery process and help reduce the costs and maximize the value over its lifecycle. His research has been used by many small and large industrial government organizations around the world.
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Sean Follmer
Associate Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsHuman Computer Interaction, Haptics, Robotics, Human Centered Design
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Emily Fox
Professor of Statistics and of Computer Science
BioEmily Fox is a Professor in the Departments of Statistics and Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Before joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.
Emily has been awarded a CZ Biohub Investigator Award, Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities. -
Michael Fredericson, MD
Professor of Orthopaedic Surgery and, by courtesy, of Medicine (Stanford Prevention Research Center)
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 and serves as Chief of Shoulder & Elbow Surgery. His concentration is in shoulder and sports elbow. Dr. Freehill serves as Head Team physician for the Athletics Major League Baseball organization. He is also a team physician for Stanford University athletics and Head Team physician for the Stanford University baseball.
Dr. Freehill’s practice focuses on all shoulder conditions including rotator cuff tears, instability, arthritis, 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, to complex surgery.
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 while in residency. 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 and push baseball science forward. He conducts cutting edge research on the biomechanics of overhead throwers and has studied pitch counts in adolescent players funded by Major League Baseball and is currently studying post-ulnar collateral ligament surgery in professional baseball hitters funded by the American Orthopaedic Society for Sports Medicine. (AOSSM). He is a member of the MLB Team Physicians Association and its Research Committee. Additionally, he was the pioneering mind behind the Pitching Lab at Wake Forest.
Dr. Freehill has pioneered the use of some of the latest techniques and technology for leading-edge shoulder care. Among the advanced technologies he utilizes is a virtual reality (VR) planning software system that enables him to perform a simulated shoulder arthroplasty procedure prior to entering the operating room with a patient. He is also a member of the robotics team which will revolutionize the manner in which shoulder replacement is performed.
Dr. Freehill has over 100 peer-reviewed articles and his work has been featured in the American Journal of Sports Medicine, Orthopedic Journal of Sports Medicine, Journal of Shoulder and Elbow Surgery, Arthroscopy, and elsewhere. He has written numerous book chapters and made over 400 presentations at regional, national, and international conferences. Dr. Freehill’s honors include the Orthopaedic Residency Research Award in residency 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 and was 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.
Currently, the Associate Editor for Shoulder & Elbow for the American Journal of Sports Medicine, he is also a committee member for the American Shoulder and Elbow Surgeons Society, American Orthopaedic Society for Sports Medicine, International Congress of Arthroscopy and Sports Traumatology, Arthroscopy Association of North America, and American Academy of Orthopaedic Surgeons, American Orthopaedic Association and has been elected into the Herodicus Society. -
Anne L. Friedlander
Adjunct Professor
BioAnne L. Friedlander, Ph.D, is the Assistant Director of Stanford Lifestyle Medicine, an Adjunct Professor in the Program in Human Biology, and a member of the Wu Tsai Human Performance Alliance. She has served as the Director of the Exercise Physiology Lab, the Director of the Mobility Division within the Stanford Center on Longevity (SCL), and the Associate Director for Education within the Geriatric Research, Education and Clinical Center (GRECC) at the VA Palo Alto. Dr. Friedlander has broad research experience in the areas of enhancing human performance, environmental physiology, and using physical activity and mobility to promote healthy aging. She also consults regularly with companies interested in developing new products, programs and ideas in the fitness and wellness space. She is passionate about the benefits of movement on the aging process and specializes in giving talks translating scientific findings on physiology and exercise into practical applications for people.
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Judith Frydman
Donald Kennedy Chair in the School of Humanities and Sciences and Professor of Genetics
Current Research and Scholarly InterestsThe long term goal of our research is to understand how proteins fold in living cells. My lab uses a multidisciplinary approach to address fundamental questions about molecular chaperones, protein folding and degradation. In addition to basic mechanistic principles, we aim to define how impairment of cellular folding and quality control are linked to disease, including cancer and neurodegenerative diseases and examine whether reengineering chaperone networks can provide therapeutic strategies.
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Lawrence Fung MD PhD
Associate Professor of Psychiatry and Behavioral Sciences (Major Laboratories & Clinical Translational Neurosciences Incubator)
Current Research and Scholarly InterestsDr. Lawrence Fung is a physician-scientist specializing in autism and neurodiversity. Dr. Fung is an associate professor of Psychiatry at Stanford University. He is the director of the Stanford Neurodiversity Project (SNP), director of the Neurodiversity Clinic, and PI at the Fung Lab. Dr. Fung’s research traverses from multi-modal neuroimaging studies to a new conceptualization of neurodiversity and its application to clinical, educational, and employment settings. His lab has two main arms of research: (1) neurobiology of autism and (2) neurodiversity.
The neurobiology arm of his lab focuses on advancing the understanding of the thalamocortical circuits and their socio-communicative and cognitive functions in people on the spectrum by using novel neuroimaging and bioanalytical technologies. The findings of his neurobiology research efforts were published in top journals in our field, such as Molecular Psychiatry, Translational Psychiatry, and Psychoneuroendocrinology.
Using a community-based participatory research approach, Dr. Fung’s team devises and implements novel interventions to improve the lives of neurodiverse individuals by maximizing their potential and productivity. He has developed and assessed several psychoeducational interventions, including the Developing Inclusive and Vocational Educational Resources for Success and Employment (DIVERSE) curriculum.
Dr. Fung is also the founding director of the SNP, a special initiative of the Department of Psychiatry at Stanford. Since 2017, the SNP has organized various events, including the Stanford Neurodiversity Summit, which brings thousands of people together yearly to share visions, innovations, and inspirations about maximizing the potential of neurodiversity. Each summer, about 100 high-school students join us at the SNP’s Research, Education, and Advocacy Camp for High Schoolers (SNP-REACH), to learn how to develop neurodiversity advocacy projects. Dr. Fung also teaches a neurodiversity design thinking course at Stanford. Clinically, Dr. Fung has applied the SBMN to his clinical work and is teaching a CME course focusing on delivering neurodiversity-affirmative care to neurodivergent patients. -
Ansgar Furst
Clinical Associate Professor (Affiliated), Psych/Public Mental Health & Population Sciences
Staff, Psychiatry and Behavioral 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 chronic multisymptom illness, traumatic brain injury, sleep, pain and neurodegenerative diseases.
For more information please visit:
https://med.stanford.edu/furstlab.html
Member of:
Center for Sleep and Circadian Sciences
https://med.stanford.edu/cscs.html
Faculty Affiliate:
Wu Tsai Human Performance Alliance
https://humanperformance.stanford.edu -
Stephen J. Galli, MD
Mary Hewitt Loveless, MD, Professor in the School of Medicine and Professor of Pathology and of Microbiology and Immunology
Current Research and Scholarly InterestsThe goals of Dr. Galli's laboratory are to understand the regulation of mast cell and basophil development and function, and to develop and use genetic approaches to elucidate the roles of these cells in health and disease. We study both the roles of mast cells, basophils, and IgE in normal physiology and host defense, e.g., in responses to parasites and in enhancing resistance to venoms, and also their roles in pathology, e.g., anaphylaxis, food allergy, and asthma, both in mice and humans.
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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.