Medicine
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Daniel Aaron Gerber, MD
Clinical Associate Professor, Medicine - Cardiovascular Medicine
BioDr. Gerber is a critical care cardiologist and medical director of Stanford's cardiac ICU. He has dual subspecialty training in cardiovascular and critical care medicine and additional board certification in echocardiography. He completed his residency in internal medicine, fellowship in cardiovascular medicine, and an additional fellowship in critical care medicine at Stanford University and joined as faculty in 2021 as a Clinical Assistant Professor in the Department of Medicine’s Division of Cardiovascular Medicine.
Dr. Gerber manages the full spectrum of heart and vascular conditions with a focus on critically ill patients with life-threatening cardiovascular disease. He is active in medical education, teaching introductory echocardiography to Stanford medical students and residents, co-directing the Stanford Critical Care Medicine Critical Care Ultrasound Program, and lecturing nationally on critical care echocardiography and point-of-care ultrasonography at the Society of Critical Care Medicine’s annual congress. Finally, Dr. Gerber’s research interests focus on optimizing cardiac intensive care, including working with the Critical Care Cardiology Trials Network (CCCTN) - a national network of tertiary cardiac ICUs coordinated by the TIMI Study Group - and studying acute mechanical circulatory support techniques to improve patient outcomes and care processes. -
Zaniar Ghazizadeh
Instructor, Medicine - Cardiovascular Medicine
BioDr. Ghazizadeh is a Cardiac Electrophysiologist at Stanford. He completed his Internal Medicine residency at Yale before moving to Stanford to pursue fellowships in Cardiovascular Disease and Clinical Cardiac Electrophysiology.
Dr. Ghazizadeh's clinical interests focus on the management of complex cardiac arrhythmias. His research centers on developing computational and wet-lab platforms to study cardiac electrophysiology and the mechanisms underlying cardiac arrhythmias.
His work integrates a broad range of systems, including human biobanks, genetically engineered human and animal models, and nontraditional model organisms, to uncover the molecular and physiological basis of cardiac arrhythmias. His research has been supported by NIH, AHA, and several Stanford University funding programs. As a clinician-scientist, his long-term goal is to translate these discoveries into improved risk stratification tools and novel therapeutic strategies to prevent and treat cardiac arrhythmias. -
Bruna Gomes
Assistant Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsThe increasing availability of very large datasets, along with recent advances in deep learning based tools for automatic extraction of cardiac traits, has led to the discovery of further common variants associated with cardiac disease. However, the genetic underpinnings of valvular heart disease remains understudied. I am interested in developing deep learning techniques to automatically extract cardiac flow information to facilitate genome-wide association studies of cardiac flow traits.
