David Sapienza is an Applied Mathematics MSc candidate at ETH Zurich and a research assistant specializing in machine learning for quantitative MRI reconstruction at the University of Bern. He brings a decade of experience blending mathematical rigor with software engineering, including teaching object-oriented C++ and information/computation courses at EPFL. Passionate about the intersection of data, mathematics and engineering, he focuses on translating advanced ML methods into practical imaging solutions that improve diagnostic workflows. Based in Bern, he pairs a strong theoretical foundation from EPFL and ETH with hands-on lab work, and his background suggests an aptitude for bridging academic research and clinical application.
10 years of coding experience
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Ecole polytechnique fédérale de Lausanne
Master of Science - MS, Applied Mathematics, Master of Science - MS, Applied Mathematics at ETH Zürich
High School Diploma, Liceo Scientifico, High School Diploma, Liceo Scientifico at Liceo Scientifico Benedetto Croce
Contributions:12 PRs, 24 pushes, 10 branches in 4 months
partybrowserprivacyeffsecurity
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
David Sapienza - Research Assistant at University of Bern