School of Medicine
Showing 11,601-11,610 of 12,937 Results
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Eline van Beest
Affiliate, School of Medicine - MDRP'S - Biodesign Program
BioEline founded the TUDelft spin-off and MedTech scale-up NightBalance in 2009 with a new therapy for sleep apnea. NightBalance was acquired by Philips in 2018. Currently, she Operating Partner at Thuja Capital and CEO of Hybridize Therapeutics, a spin-off from the LUMC that develops RNA-based therapies for kidney diseases. Besides that she is part of the Investment Committee of the Deep Tech Fund of EZ & InvestNL, the VGZ Voorop in Zorg Fonds and the Graduate Ventures Pre Seed Fund and is a member of the Supervisory Board of Yes!Delft (a leading tech incubator in Europe supporting 280 startups).
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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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Matt van de Rijn
Sabine Kohler, MD, Professor of Pathology, Emeritus
Current Research and Scholarly InterestsOur research focuses on molecular analysis of human soft tissue tumors (sarcomas) with an emphasis on leiomyosarcoma and desmoid tumors. In addition we study the role of macrophages in range of malignant tumors.
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Stephanie Van de Ven
Member, Stanford Cancer Institute
BioAs Deputy Director of the Canary Center at Stanford for Cancer Early Detection I broadly oversee its operations and research programs. The Canary Center is focused on developing in vitro and in vivo tools for early cancer detection and its research spans the areas of biomarker discovery, development of molecular imaging agents, development of new diagnostic and imaging devices, and mathematical modeling. In my position I facilitate the clinical translation of cancer diagnostic tools and I enable innovative interdisciplinary research. My research expertise includes leading phase I-II clinical trials to evaluate a newly developed optical breast imaging system in combination with a novel imaging agent. I gained valuable experience in clinical translation of medical devices and in testing new imaging agents for the first time in patients. My training as a Radiology resident was instrumental in my decision to focus on cancer early detection research, because it clearly confronted me with the problem that most cancer patients are being diagnosed too late. I expanded my knowledge on biomarker research by developing proteomics assays during my postdoctoral fellowship at Stanford, in conjunction with my continued work in optical and photoacoustic molecular imaging. In my current role, I work with the faculty of the Canary Center and the Molecular Imaging Program at Stanford, and am committed to advancing cancer research by applying my medical training, clinical knowledge, and research expertise to managing collaborative programs and contribute to the success of the Center and its faculty.
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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.
