Vice Provost and Dean of Research


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  • Maya M. Kasowski

    Maya M. Kasowski

    Assistant Professor of Pathology, of Medicine (Pulmonary, Allergy and Critical Care Medicine) and, by courtesy, of Genetics

    BioI am a clinical pathologist and assistant professor in the Departments of Medicine, Pathology, and Genetics (by courtesy) at Stanford. I completed my MD-PhD training at Yale University and my residency training and a post-doctoral fellowship in the Department of Genetics at Stanford University. My experiences as a clinical pathologist and genome scientist have made me passionate about applying cutting-edge technologies to primary patient specimens in order to characterize disease pathologies at the molecular level. The core focus of my lab is to study the mechanisms by which genetic variants influence the risk of disease through effects on intermediate molecular phenotypes.

  • Riitta Katila

    Riitta Katila

    W.M. Keck Professor and Professor of Management Science and Engineering

    Current Research and Scholarly InterestsThe question that drives Prof. Katila's research is how technology-based firms with significant resources can stay innovative. Her work lies at the intersection of the fields of technology, innovation, and strategy and focuses on strategies that enable organizations to discover, develop and commercialize technologies. She combines theory with longitudinal large-sample data (e.g., robotics, biomedical, platform and multi-industry datasets), background fieldwork, and state-of-the-art quantitative methods. The ultimate objective is to understand what makes technology-based firms successful.

    To answer this question, Prof. Katila conducts two interrelated streams of research. She studies (1) strategies that help firms leverage their existing resources (leverage stream), and (2) strategies through which firms can acquire new resources (acquisition stream) to create innovation. Her early contributions were firm centric while recent contributions focus on innovation in the context of competitive interaction and ecosystems.

    Professor Katila's work has appeared in the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Strategic Entrepreneurship Journal, Strategy Science, Strategic Management Journal, Research Policy and other outlets. In her work, supported by the National Science Foundation, Katila examines how firms create new products successfully. Focusing on the robotics and medical device industries, she investigates how different search approaches, such as the exploitation of existing knowledge and the exploration for new knowledge, influence the kinds of new products that technology-intensive firms introduce.

  • Daniel Katz

    Daniel Katz

    Assistant Professor of Medicine (BMIR)

    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.

  • Laurence Katznelson, MD

    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 Cushing’s 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

  • Amit Kaushal

    Amit Kaushal

    Adjunct Professor, Bioengineering
    Casual - Non-Exempt, Continuing Studies

    BioAmit Kaushal, MD, PhD is Clinical Associate Professor of Medicine (Stanford-VA) and Adjunct Professor of Bioengineering at Stanford University. Dr. Kaushal's work spans clinical medicine, teaching, research, and industry.

    He helped launch Stanford School of Engineering's undergraduate major in Biomedical Computation (bmc.stanford.edu) and has served as long-time director of the major. The major has graduated over 70 students since inception and was recently featured in Nature (https://go.nature.com/2P2UnRu).

    His research interests are in utilizing health data in novel and ethical ways to improve the practice of medicine. He is a faculty executive member of Stanford's Partnership for AI-Assisted Care (aicare.stanford.edu). Recently, he has also been working with public health agencies to improve scale and speed of contact tracing for COVID-19.

    He has previously held executive and advisory roles at startups working at the interface of technology and healthcare.

    He continues to practice as an academic hospitalist.

    Dr. Kaushal completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics), and residency training at Stanford. He is board-certified in Internal Medicine and Clinical Informatics.

  • Makoto Kawai

    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.