Daan Roos is a PhD student at the University of Amsterdam with nine years of experience bridging academic teaching, industrial research, and data science. He holds a cum laude MSc in Computer Science and a BSc in Artificial Intelligence from Radboud, and his work centers on Bayesian methods and the theoretical foundations of machine learning and statistics. Prior roles include a research internship at ASML on robust and Bayesian regression and teaching assistantships for probability and statistics courses, reflecting strong communication skills alongside technical depth. Based in Nijmegen, he combines rigorous theoretical interests with practical research experience, and has a track record of mentoring and organizational leadership dating back to student leadership roles.
9 years of coding experience
VWO Diploma, VWO Diploma at Onze Lieve Vrouwelyceum Breda
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Daan Roos - PHD Student at University of Amsterdam