Stanford University
Showing 2,161-2,180 of 2,393 Results
-
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.
-
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. -
Anubodh Sunny Varshney
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Anubodh Sunny Varshney is a Clinical Assistant Professor, Medical Director of Mechanical Circulatory Support, and Associate Director of the Fellowship Program in the Section of Advanced Heart Failure, Transplant Cardiology, and Mechanical Circulatory Support at Stanford. In addition to caring for patients with advanced heart disease, he is also a clinical researcher and works to identify patient groups that have sub-optimal outcomes with current therapies, define benchmark outcomes that next generation therapies should improve upon, and understand factors that influence adoption of novel drug and device therapies for cardiovascular disease.
Dr. Varshney earned a BS in biomedical engineering from Washington University in St. Louis and an MD from the University of Texas Southwestern Medical School. He completed residency in Internal Medicine and fellowship in Cardiovascular Medicine at Brigham & Women’s Hospital/Harvard Medical School and fellowship in Advanced Heart Failure, Transplant Cardiology, and Mechanical Circulatory Support at Stanford University.
Dr. Varshney also has experience advising multiple medical device, drug, and digital health start-ups and currently serves as a Venture Advisor at Broadview Ventures, a philanthropically-funded, mission-driven investment organization that invests in early-stage companies developing technologies that have the potential to improve outcomes for patients with cardiovascular disease or stroke. -
Shivam Vedak
Clinical Assistant Professor, Medicine
BioShivam Vedak, MD, MBA, is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford University School of Medicine. He earned his Bachelor of Science in Biology-Neuroscience from the Schreyer Honors College at The Pennsylvania State University, followed by a dual MD/MBA from the University of Illinois at Chicago (UIC). He completed his residency in Internal Medicine at UIC, where he was honored as the institution’s American College of Physicians Outstanding Resident of the Year in 2022, and subsequently completed a fellowship in Clinical Informatics at Stanford.
Clinically, Dr. Vedak practices as a surgical co-management hospitalist at Stanford Health Care (SHC). His academic and operational work centers on the practical integration of generative artificial intelligence (AI) into clinical workflows, ranging from safe and effective deployment and monitoring to the broader education of healthcare workers on these rapidly evolving technologies. He is frequently invited to speak at national conferences, academic institutions, and professional events, offering both engaging interactive workshops and structured didactic sessions on the fundamentals of large language models (LLMs) and evidence-based prompting techniques.
