School of Medicine
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Connor Galen O'Brien
Postdoctoral Medical Fellow, Cardiovascular Medicine
BioDr. O'Brien is a native of Menlo Park, CA. He attended medical school at Columbia University College of Physicians and Surgeons. At Columbia he was elected to both Alpha Omega Alpha and Gold Humanism Honors Societies. He completed an Internal Medicine residency as well as fellowship in Cardiovascular Medicine at Stanford University. In his third year of fellowship, he was selected Chief Cardiology Fellow.
He is currently a post-doctoral fellow performing regenerative medicine research, specifically studying the role of exosomes in treating cardiomyopathy. In addition to his basic science research, he is also involved in human clinical trials investigating the role of stem cells in treating various forms of cardiomyopathy. -
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.
