Summary
Gennady Roshchupkin is an Assistant Professor and leader of the Computational Population Biology group at Erasmus MC, combining 11+ years of experience in statistics, machine learning, medical imaging and genomics to develop integrative methods for large-scale biological, epidemiological and clinical data. He chairs the CHARGE Consortium Machine Learning working group and leads the Bioinformatics working group in a genomics translational network, translating methodological advances directly into population- and clinical-scale studies. Gennady also drives national AI strategy for Dutch university medical centres as Programme Manager at NFU, building infrastructure, legal frameworks and partnerships to accelerate responsible translational AI in healthcare. His background spans astrophysics to network security, reflecting a long-standing talent for mathematical modelling and high-throughput algorithm optimization applied across domains. Equally comfortable in deep learning and statistical genetics, he co-founded Erasmus MC squAIre to foster quantitative AI research and collaboration.
11 years of coding experience
9 years of employment as a software developer
Elementary School, Sergiev Posad, Russia
Mathematics and physics, Mathematics and physics at Physics and Mathematics High School (#2), Sergiev Posad, Russia
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Erasmus University Rotterdam
Lomonosov Moscow State University
English, German