Stanford University
Showing 11-20 of 65 Results
-
Nazish Sayed MD, PhD
Associate Professor (Research) of Surgery (Vascular Surgery)
Current Research and Scholarly InterestsThe Sayed Laboratory investigates how endothelial dysfunction contributes to cardiovascular disease and leverages human stem cell technologies to identify novel therapeutic strategies. Our research integrates patient-derived induced pluripotent stem cells (iPSCs), engineered cardiac tissues, organoids, human biospecimens, and multi-omic technologies to uncover mechanisms underlying inherited and acquired cardiovascular diseases.
A major focus of the laboratory is understanding endothelial–cardiomyocyte communication in cardiomyopathy. Using patient-specific iPSCs, human cardiac organoids, engineered heart tissues, spatial transcriptomics, and single-cell multi-omics, we study how endothelial dysfunction drives myocardial fibrosis, inflammation, and heart failure. Current efforts include investigations into LMNA-related dilated cardiomyopathy, endothelial-to-mesenchymal transition (EndoMT), and mechanisms of fibrotic remodeling.
A second major area of research is cardio-oncology. The laboratory develops human disease models to understand cardiovascular complications associated with cancer therapies, including tyrosine kinase inhibitors and immune checkpoint inhibitors. These studies have identified novel vascular mechanisms underlying treatment-related hypertension, cardiomyopathy, and heart failure.
The laboratory also investigates cardiovascular aging, toxic environmental exposures, rare vascular diseases, and regenerative medicine. By integrating human tissues, advanced stem cell models, genome engineering, spatial biology, and artificial intelligence–enabled multi-omic analyses, our goal is to develop precision therapeutic strategies that improve cardiovascular health and patient outcomes. -
Ingela Schnittger, MD
Professor of Medicine (Cardiovascular)
Current Research and Scholarly InterestsMy main research continues to be in the field of echocardiography. Several areas of research are currently being pursued.
-
Donald Schreiber
Associate Professor of Emergency Medicine at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsMy research group focuses on the diagnosis and treatment of cardiovascular emergencies including acute myocardial infarction, acute coronary syndrome and congestive heart failure. We have evaluated novel cardiac markers and point-of-care testing in clinical practice. Current projects also include the diagnosis and treatment of acute pulmonary embolism and deep venous thrombosis. Other interests include spinal cord injury, pneumonia and sepsis.
-
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
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
Visiting Instructor/Lecturer, Cardiovascular Institute
Postdoctoral Scholar, Cardiovascular InstituteBioDr. 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
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.
