School of Medicine
Showing 11-20 of 49 Results
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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. -
Max Van Puyvelde
Affiliate, Med/BMIR
BioMax Van Puyvelde is a Visiting Student Researcher at BMIR, working under the supervision of Prof. Olivier Gevaert on foundation models and deep learning for 2D and 3D medical image analysis and segmentation. With a background in bioinformatics and machine learning, his work spans both academic and industry applications, including roles in AI-driven drug discovery and high-throughput medical imaging. Alongside research, Max has been involved in startup ventures, consulting, and scientific advising in the AI and healthcare space. He is currently completing his Master’s at Ghent University and will continue as a Visiting Researcher during his PhD, jointly at Stanford and Ghent University.
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Anubodh Sunny Varshney
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Anubodh Sunny Varshney is a Clinical Assistant Professor 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 an Investigator in the Cardiovascular Outcomes, Policy, & Implementation Research Group (https://www.copirgroup.com/) where he works to identify patient groups that have ongoing unmet medical needs, define benchmark outcomes that next generation therapies should improve upon, and understand factors that influence adoption of novel drug and device therapies.
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.
