Vice Provost and Dean of Research
Showing 1,041-1,060 of 2,475 Results
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Daniel Katz
Assistant Professor of Medicine (Computational Medicine)
BioDaniel Katz is an Assistant Professor of Medicine in the Stanford Center for Biomedical Informatics Research (BMIR) and the Cardiovascular Medicine Divisions. He practices as an Advanced Heart Failure and Transplant Cardiologist. He completed internal medicine residency at Massachusetts General Hospital, general cardiology training at Beth Israel Deaconess Medical Center, and then joined Stanford in 2021 for his advanced heart failure training. His research focuses on identifying the various pathophysiologic patterns and mechanisms that lead to the heterogeneous syndrome of heart failure. His efforts leverage high dimensional data in many forms including clinical phenotypes, plasma proteomics, metabolomics, and genetics. He is presently engaged in analysis of multi-omic data from the Molecular Transducers of Physical Activity Consortium (MoTrPAC) and the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. His clinical interests include advanced heart failure, transplant cardiology, and mechanical circulatory support.
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Noa Katz
Research Professional, Chemical Engineering
BioNoa Katz is a Stanford Science Fellow and an EMBO and Fulbright postdoctoral scholar at Stanford University. She implements biomolecular gene circuits to study and manipulate the central nervous system to promote therapeutic applications for neural repair and autism.
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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.
