Stanford University


Showing 421-430 of 535 Results

  • John S. Schroeder, MD

    John S. Schroeder, MD

    Professor (Clinical) of Medicine (Cardiovascular), Emeritus

    Current Research and Scholarly Interests1. Clinical Pharmocology of Cardiovascular Drugs
    (a) Calcium Channel Blockers
    (b) Agents for Heart Failure
    (c) Anti-atherosclerotic Effects of Cardiovascular Drugs, e.g. Calcium Channel Blockers

    2. Cardiac Transplantation/Congestive Heart Failure

    3. Coronary Artery Spasm

  • Vittorio Sebastiano

    Vittorio Sebastiano

    Associate Professor (Research) of Obstetrics and Gynecology (Reproductive, Perinatal & Stem Cell Biology Research)

    Current Research and Scholarly InterestsThe thread of Ariadne that connects germ cells, preimplatation development and pluripotent stem cells is the focus of my research, with a specific interest in human development. My long-term goals are: 1. Understanding the biology of germ cells and and their ability to sustain early preimplantation development; 2. Understanding the mechanisms that regulate very early cell fate decisions in human embryos; 3. Understanding the biology of derivation and maintenance of Pluripotent Stem Cells

  • Mojtaba Sedigh Fazli

    Mojtaba Sedigh Fazli

    Visiting Instructor/Lecturer, Cardiovascular Institute
    Postdoctoral Scholar, Cardiovascular Institute

    BioDr. Mojtaba Fazli is a leading artificial intelligence scientist and Lecturer at the Stanford Cardiovascular Institute and Stanford School of Medicine. His research connects machine learning, biomedical imaging, and cardiovascular physiology to address a central challenge in clinical AI: translating complex biomedical data into interpretable insights that can support better clinical decisions.

    Working under the mentorship of François Haddad and Suzanne Tamang, Dr. Fazli develops AI approaches that integrate electrocardiography, echocardiography, invasive hemodynamic measurements, and clinical data. His current research spans pulmonary hypertension, right-heart function, and the estimation of cardiovascular pressures and function from noninvasive measurements. A defining focus of his work is explainability—understanding not only what a model predicts, but also how its predictions relate to clinically meaningful physiological patterns. Through this work, he investigates how AI can complement established cardiovascular assessment and support more informative, accessible approaches to disease evaluation.

    Before his current appointment, Dr. Fazli held successive postdoctoral positions in Stanford’s Division of Immunology and Rheumatology and at the Cardiovascular Institute. Under the supervision of Suzanne Tamang and Rob Fairchild, his rheumatology research focused on AI-enabled ultrasound analysis, rheumatoid arthritis assessment, and the integration of multimodal clinical data. This experience helped shape his broader research approach: connecting imaging, quantitative measurements, and clinical context to address questions that matter in patient care.

    His background spans academic medicine and pharmaceutical research, including postdoctoral training and senior research experience at the Harvard Ophthalmology Artificial Intelligence Lab and Harvard AI and Robotics Lab. He also served as a Senior Open Innovation Scholar and Gates Fundation Fellow at the Novartis Institutes for BioMedical Research, applying computational methods to biomedical research and drug discovery. Across these settings, his work has encompassed computer vision, 2D and 3D biomedical image analysis, computational disease modeling, and AI-driven analysis of complex biological data.

    Dr. Fazli’s broader research interests include multimodal learning, computer vision, agentic AI, generative AI, and large language models for medical data analysis, integration of clinical knowledge, and clinical decision support. Across these areas, he emphasizes rigorous evaluation, transparent modeling, and close collaboration between computational scientists and clinicians.

    He holds a PhD in Computer Science, with a minor in Mathematics, from the University of Georgia, a Doctorate in Business Administration, and master’s degrees in Economics and Management and in Artificial Intelligence and Robotics. This interdisciplinary foundation informs his approach to developing AI that is technically rigorous, clinically grounded, and responsive to the practical challenges of healthcare.

  • George Segall

    George Segall

    Professor of Radiology, Emeritus

    Current Research and Scholarly InterestsScintigraphic evaluation of coronary blood flow and myocardial function using single photon emission computed tomography (SPECT) and positron emission tomography (PET). Tumor imaging and characterization of pulmonary nodules with PET/CT.

  • Zachary M. Sellers, MD, PhD

    Zachary M. Sellers, MD, PhD

    Adjunct Professor, Pediatrics - Gastroenterology

    BioDr. Sellers is a pediatric physician-scientist and research and clinical development consultant. As a pediatric gastroenterologist and ion channel physiologist, Dr. Sellers' work in academia and pharma over the last 20 years has focused on improving the lives of individuals with complex and rare diseases through providing cutting-edge clinical care and advancing research and drug development. Dr. Sellers previously led a basic and translational research laboratory at Stanford, focused on epithelial ion transport and acid-base regulation using a variety of human and animal models. He is a firm believer in the exponential impact of team science and is adept working in multi-disciplinary and cross-functional teams. He seeks out strategic partnerships and opportunities that can leverage his expertise and leadership to advance innovative therapies for areas of high unmet need and to support the development of the next generation of physician-scientists. Dr. Sellers received his BS (Animal Physiology and Neuroscience) and BA (Japanese Studies) from the University of California. San Diego, his MD and PhD (Molecular and Integrative Physiology) from the University of Illinois at Urbana-Champaign, and was trained in Pediatrics and Pediatric Gastroenterology, Hepatology, and Nutrition at Stanford, where he was previously a faculty member and attending physician. He held multiple leadership positions at Stanford, including Associate Chief of Research in Gastroenterology, Director of the Stanford Children's Pancreas Program, Lead Gastroenterologist for the CF Program, Director of the CFTR Phenotyping and Theratyping Program, and Physician-Scientist Advisor for the Pediatrics Residency Program.

  • Nigam H. Shah, MBBS, PhD

    Nigam H. Shah, MBBS, PhD

    Professor of Medicine (Computational Medicine), of Biomedical Data Science and, by courtesy, of Computer Science

    Current Research and Scholarly InterestsWe answer clinical questions using aggregate patient data at the bedside. The Informatics Consult Service (https://greenbutton.stanford.edu/) put this idea in action and led to the creation of Atropos Health. We build predictive models that allow taking mitigating actions, keeping the human in the loop.

  • Naima G. Sharaf

    Naima G. Sharaf

    Assistant Professor of Biology and, by courtesy, of Structural Biology

    Current Research and Scholarly InterestsResearch in the lab bridges biology, microbiology, and immunology to translate lipoprotein research into therapeutics