School of Medicine
Showing 1-10 of 46 Results
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Randall Vagelos, MD
Professor of Medicine (Cardiovascular)
Current Research and Scholarly InterestsI. Congestive Heart Failure New Medical Therapies Prognostic Evaluation Selection for Cardiac Transplantation II. Screening for Myocardial Necrosis New ECG Monitoring Devices New Serum Markers III. Screening for CAD Patients Who Have Received Radiation Rx Diabetics Being Considered for Renal Transplantation
IV. Advanced coronary and valvular disease, evaluationg candidacy for high risk interventions. -
Sharif Vakili, MD, MBA, MS
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioSharif Vakili, MD, MBA, MS, (pronouns: he/him), is an internal medicine physician, clinician executive and educator. He practices at Stanford Los Altos Primary Care.
Dr. Vakili has a background in chronic disease management and health systems delivery, believing strongly in a teamwork approach to patient care that empowers patients to navigate the health system as part of their clinical care.
He is active in the research and business communities. His research has been in peer-reviewed journals including JAMA Network Open, the Annals of Emergency Medicine, Quality Management in Healthcare, and the Journal of Clinical Rheumatology. He also teaches annually at the Stanford Graduate School of Business.
Dr. Vakili is credited with establishing and coining Remote Patient Intervention (RPI), a model of clinician-supervised AI care delivery first performed at Stanford during a clinical study published in JAMA Network Open. -
Hannah Valantine
Professor of Medicine (Cardiovascular)
Current Research and Scholarly InterestsMy lab is focused on understanding the mechanism mediating acute and chronic allograft failure, in particular on the role of microvascular injury in acute allograft failure and the mechanisms of mediating transplant coronary artery disease. 1. Role of microvascular injury in acute allograft failure.
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Laura van Dam
Postdoctoral Scholar, Immunology and Rheumatology
BioI am both trained as a biomedical researcher and medical doctor in internal medicine and strive to close the gap between the clinic and fundamental sciences with translational research. My focus is to study the mechanisms of autoimmune diseases and to translate research insights into therapeutics targeting autoimmunity. I have received my PhD in 2022 in Leiden for studying neutrophil extracellular traps and autoreactive B cells in renal autoimmune diseases. My postdoctoral research project in the Robinson lab focuses on investigating the underlying molecular mechanisms of the pathogenesis of ANCA-associated vasculitis. I particularly aim to identify potential microbial triggers and molecular mimicry in ANCA-associated vasculitis, by characterizing the nasal microbiome and sequencing T cells and B cells of ANCA-associated vasculitis patients.
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Laurens van de Wiel
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a post-doctoral researcher at Stanford University under supervision of Matthew Wheeler and Stephen Montgomery. My research focuses on understanding the entire spectrum of genetic variation effects on protein function and structure in order to decipher molecular mechanisms of disease.
My post-doctoral work centers on developing novel software methodologies which combine multi-omics data to interpret the functional impact of genetic variants in undiagnosed patients. I am part of the Undiagnosed Disease Network (UDN) at Stanford Center for Undiagnosed Diseases (CUD), Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) consortium at GREGoR Stanford Site (GSS), and the Molecular Transducers of Physical Activity Consortium (MoTrPAC) at the Bioinformatics Center (BIC).
Before joining Stanford. I was received my Ph.D. in 2021 at the Radboud University Medical Center under supervision of Christian Gilissen, Gert Vriend, and Joris Veltman. I received my MSc degree in 2014 at Radboud University under supervision of Tom Heskes, Evgeni Levin, and Armand Paauw. Before my Ph.D, I worked as a Data Scientist at FLXone, where I developed machine learning solutions within a large-scale, real-time infrastructure.
Research
I am interested in a variety of topics in Bioinformatics and Computer Science. In particular, I am interested in the application of Artificial Intelligence and Statistical Modelling to analyse human (Rare) Mendelian Disease Genetics, Evolutionary Comparative Genomics, Protein Domain Homology, and Molecular Structures.
