School of Medicine


Showing 1-9 of 9 Results

  • Daniel Aaron Gerber, MD

    Daniel Aaron Gerber, MD

    Clinical Assistant Professor, Medicine - Cardiovascular Medicine

    BioDr. Gerber is a critical care cardiologist and co-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.

  • Joshua Gillard

    Joshua Gillard

    Postdoctoral Scholar, Cardiovascular Medicine

    BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection) in order to discover molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is focused on applying deep learning models to investigate aberrant splicing in cardiovascular disease.

  • Diona Gjermeni

    Diona Gjermeni

    Affiliate, Med/Stanford Center for Clinical Research
    Visiting Scholar, Medicine - Med/Cardiovascular Medicine

    BioShe is a clinician scientist (MD) specialist of internal medicine and finishing her training in cardiology. She is attending as visiting scholar at the Stanford Center for Clinical Research, Department of Medicine. Her main focus is clinical research in cardiovascular patients.

  • Bruna Gomes

    Bruna Gomes

    Postdoctoral Scholar, Cardiovascular Medicine

    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.