Summary
David Paipa is a PhD student in astrophysics at Observatoire de Paris with nine years of experience blending physics, data science, and machine learning to tackle heliophysics and astronomical problems. He holds an MSc in Physics and a background in astronomy and computational methods, with hands-on experience applying deep learning and statistical models to massive datasets and cosmic ray detection. Multilingual in Spanish, English, Portuguese and French, he navigates international research environments and collaborative projects across Europe and Latin America. His career spans academic internships and industry consulting, bringing practical data engineering and visualization skills to scientific inquiry. Known for combining art and science through code, he focuses on extracting physical insight from noisy observational data rather than only optimizing metrics. Based in Paris, he advances heliophysics research with reproducible ML pipelines and scalable data-mining approaches.
9 years of coding experience
Grado, Physics, Especialized in astronomy and computational methods., Grado, Physics, Especialized in astronomy and computational methods. at Universidad de los Andes - Colombia
German, English, Portuguese, Spanish, French