Summary
Sebastian Van Der Voort is an assistant professor and technical healthcare researcher with nine years of experience applying AI and automated image analysis to medical imaging, currently focusing on federated learning at Amsterdam UMC. He holds an MS in Applied Physics (cum laude) from TU Delft and a cum laude PhD from Erasmus MC, where his work enabled less invasive, personalized treatment planning for glioma patients by predicting tumor genetics from MRI. Skilled in programming, data engineering, and system architecture, he builds harmonized pipelines that translate complex imaging and clinical data into actionable tools for clinicians. A collaborative problem-solver, he bridges clinical stakeholders and technical teams and has led multiple community initiatives—like Dutch Hacking Health and student leadership roles—demonstrating a knack for mobilizing interdisciplinary teams. Notably, he balances deep technical rigor with practical deployment concerns by advancing privacy-preserving federated methods that allow multi-center learning without sharing raw patient data.
9 years of coding experience
2 years of employment as a software developer
High School Diploma Natural Sciences, High School Diploma Natural Sciences at Christelijk Lyceum Zandvliet
Master of Science - MS Physics, Master of Science - MS Physics at Delft University of Technology
Dutch, English