Thomas de Bel
AI SCIENTIST
Thomas de Bel
Thomas is an AI Scientist at Aiosyn. He has a BSc in Medicine and in Computer Science, followed up with a MSc in Data Science. After his studies, he started a PhD in the field of computational pathology, with a focus on quantifying risk factors of breast cancer. At Aiosyn he will continue to apply his experience in both medicine and machine learning to build capable algorithms that will be brought to the clinic.
Thomas can often be found in the bouldering gym, and is a huge board game enthusiast.
Education
PhD in Digital Pathology
Radboud University Medical Center | 2018 – Present
MS in Data Science
Radboud University | 2016 – 2017
BA in Computer Science
Radboud University | 2013 – 2016
BA in Medicine
Radboud University | 2009 – 2013
Experience
PhD Student
Radboudumc | 2018 – Present
Student Assistant
Center for Language Studies of the Max Planck Institute for Psycholinguistics | 2016 – 2017
Student Assistant
Radboud University | 2015
More articles from this author
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Quantitative Image Analysis Uncovers the Efficacy of the Selective Endothelin A Receptor Antagonist Atrasentan in a Rat Model of IgA Nephropathy
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Quantitative Image Analysis Reveals the Benefits of Dapagliflozin on Glomerulosclerosis, Podocytes Effacement and Kidney Fibrosis in the SDT Fatty Rat Model of Diabetic Nephropathy
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
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Deep Learning–Based Histopathologic Assessment of Kidney Tissue
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