Summary
Daniel Jordán is a math and physics-trained developer and tutor studying Mathematics and Computer Science at Carleton University, with a decade of hands-on experience across scientific instrumentation, tutoring, and research projects. He combines Python, C and CUDA C programming for data-driven and computational physics work—having built and automated a Vibrating Sample Magnetometer for magnetic thin-film characterization. Comfortable explaining complex concepts to diverse audiences, he currently teaches math enrichment to elementary students while pursuing data science or machine learning internships. His background includes nuclear reactor measurements, thermoluminescence sample prep, and numerical simulation training, giving him uncommon practical experience linking lab instrumentation to computational analysis. Known for curiosity across condensed matter physics and ML, he brings both experimental rigor and software fluency to interdisciplinary problems.
10 years of coding experience
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at Universidad Nacional de Ingeniería
Numerical Simulations with the Finite Element Method, Numerical Simulations with the Finite Element Method at Brazilian - German Summer School 2016
Master's degree, Condensed Matter Physics, Master's degree, Condensed Matter Physics at Instituto Balseiro
Bachelor's degree, Mathematics and Computer Science (CO-OP Option), Bachelor's degree, Mathematics and Computer Science (CO-OP Option) at Carleton University
Winter School in Compuational Data Science and Optimization, Winter School in Compuational Data Science and Optimization at The Fields Institute for Research in Mathematical Sciences
English, Spanish