Stanford University
Showing 1,061-1,080 of 2,493 Results
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Laurence Katznelson, MD
Professor of Neurosurgery, Emeritus
Current Research and Scholarly InterestsDr. Katznelson is an internationally known neuroendocrinologist and clinical researcher, with research expertise in the diagnosis and management of hypopituitarism, the effects of hormones on neurocognitive function, and the development of therapeutics for acromegaly and Cushings syndrome, and neuroendocrine tumors. Dr. Katznelson is the medical director of the multidisciplinary Stanford Pituitary Center, a program geared for patient management, clinical research and patient education
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Amit Kaushal
Adjunct Professor, Bioengineering
BioDr. Kaushal is Clinical Associate Professor of Medicine and Adjunct Professor of Bioengineering at Stanford University. He is a respected internal medicine physician with expertise in applications of computer science, artificial intelligence (AI), and machine learning (ML) to medicine and public health. He has worked in roles ranging from deeply technical to deeply clinical, in both academia and industry.
Dr. Kaushal brings over 20 years of research experience at the intersection of computer science and biomedicine. His work focuses on taking AI/ML applications from concept all the way through live clinical deployment, with attention to fair and ethical use of AI. His work has been featured in JAMA, Nature, Lancet Digital Health, NEJM AI, NEJM Catalyst Innovations in Care Delivery, Nature npj Digital Medicine, JAMA Network Open, Health Affairs Blog, and others; and he has been covered in popular media outlets such as Scientific American, Wired, STAT News, The Verge, LA Times, and more.
Dr. Kaushal launched Stanford University School of Engineering's undergraduate degree program in Biomedical Computation over 20 years ago; he serves as co-director of the major, which has graduated over 150 students since its founding. He is a faculty in the Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford Institute for Human-Centered Artificial Intelligence, Stanford Clinical Excellence Research Center, and Stanford Partnership for AI-Assisted Care.
Dr. Kaushal practices hospital medicine at VA Palo Alto, where he also serves as inaugural Director of the Amplified Reach Catalyst (ARC) Program, an embedded research-support infrastructure for VA hospitalist clinicians.
Dr. Kaushal has served in executive, operating, and advisory roles in industry.
Dr. Kaushal is board certified in both internal medicine and clinical informatics. He completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics) and Internal Medicine residency training all at Stanford University. -
Makoto Kawai
Clinical Professor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioI am a physician scientist in the field of sleep medicine in aging and brain function. Using combined polysomnogram and novel neuroimaging technology, I aim to identify potential sleep biomarkers to investigate the mechanism of progression from normal aging to Mild Cognitive Impairment (MCI) or dementia. I also investigate the impact of sleep on cognitive/affective function or behavior abnormality in various neurodevelopmental and neurodegenerative disorders.
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Mark A. Kay, M.D., Ph.D.
Dennis Farrey Family Professor of Pediatrics, and Professor of Genetics
Current Research and Scholarly InterestsMark A. Kay, M.D., Ph.D. Director of the Program in Human Gene Therapy and Professor in the Departments of Pediatrics and Genetics. Respected worldwide for his work in gene therapy for hemophilia, Dr. Kay and his laboratory focus on establishing the scientific principles and developing the technologies needed for achieving persistent and therapeutic levels of gene expression in vivo. The major disease models are hemophilia, hepatitis C, and hepatitis B viral infections.
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Electron Kebebew, MD, FACS
Harry A. Oberhelman, Jr. and Mark L. Welton Professor
Current Research and Scholarly InterestsDr. Kebebew’s translational and clinical investigations have three main scientific goals: 1) to develop effective therapies for fatal, rare and neglected endocrine cancers, 2) to identify new methods, strategies and technologies for improving the diagnosis and treatment of endocrine neoplasms and the prognostication of endocrine cancers, and 3) to develop methods for precision treatment of endocrine tumors.
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Corey Keller, MD, PhD
Associate Professor of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Current Research and Scholarly InterestsThe goal of my lab is to understand the fundamental principles of human brain plasticity and build trans-diagnostic real-time monitoring platforms for personalized neurotherapeutics.
We use an array of neuroscience methods to better understand the basic principles of how to create change in brain circuits. We use this knowledge to develop more effective treatment strategies for depression and other psychiatric disorders. -
Kevin Kelley
Assistant Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology)
BioAs a neuroscientist and psychiatrist, I am motivated by how little we understand about the pathophysiology of psychiatric disorders and hope that further knowledge will help to alleviate the ongoing distress of many of our patients. My research program leverages computational genomics, human brain cellular models, and molecular neuroscience techniques to understand the cellular and molecular mechanisms of human brain development and how dysfunction in these processes lead to psychiatric disorders.
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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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Thomas Kenny
Senior Associate Dean for Education and Student Affairs and Richard W. Weiland Professor in the School of Engineering
BioKenny's group is researching fundamental issues and applications of micromechanical structures. These devices are usually fabricated from silicon wafers using integrated circuit fabrication tools. Using these techniques, the group builds sensitive accelerometers, infrared detectors, and force-sensing cantilevers. This research has many applications, including integrated packaging, inertial navigation, fundamental force measurements, experiments on bio-molecules, device cooling, bio-analytical instruments, and small robots. Because this research field is multidisciplinary in nature, work in this group is characterized by strong collaborations with other departments, as well as with local industry.
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Khizer Khaderi MD, MPH
Clinical Associate Professor, Ophthalmology
BioDr. Khizer Khaderi is a Clinical Associate Professor at the Byers Eye Institute at Stanford University. Khaderi is the Founding Director of the Stanford Human Perception Laboratory (HPL) and the Stanford Vision Performance Center (VPC). He also serves as faculty at the Stanford Institute for Human-Centered AI and the Wu Tsai Human Performance Alliance (HPA)
Khaderi is a renowned Neuro-Ophthalmic surgeon, technologist and futurist. Dr. Khaderi is pioneering the field of Symbiotics, defined as the convergence of human science + computer science. Khaderi developed the discipline of Symbiotics following initial interest from CS students interested in his research at the Stanford Human Perception Lab. Symbiotics involves a deep understanding in the principles of human systems and applying these principles computationally, to design and develop the next generation of human-centric technologies, where machines perceive, understand and respond to optimize the human experience. Dr. Khaderi envisions the application of Symbiotic principles as the key to unlocking ambient intelligence.
Khaderi has extensive domain expertise in artificial intelligence (AI), spatial computing (virtual reality (VR), augmented reality (AR), mixed reality (MxR)), wearables, gaming, IoT, Web3, applied neuroscience, human factors, and human-machine interfaces/interaction. His research interests include developing personalized human intelligent systems 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 technology, companies and 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 Apple, Google, Meta, Microsoft, Riot Games, Intel, Activision, Unity, Epic Games, NBA, Glaukos, the Global Esports Federation, the World Health Organization, the International Olympic Committee, the International Telecommunication Union, and the World Bank.
