Summary
Szymon Nakoneczny is an astrophysicist and machine learning researcher with a decade of experience applying ML to astronomical data, currently serving as Assistant Professor at the Center for Theoretical Physics, Polish Academy of Sciences. He previously worked as a postdoctoral scholar at Caltech on AGN detection in the Zwicky Transient Facility and uses active galactic nuclei as tracers for cosmology across surveys like KiDS and LOFAR. Trained with a PhD in astrophysics and strong computer science credentials from Jagiellonian and Radboud, he blends rigorous theory with production-oriented ML workflows developed during prior industry roles. His expertise spans time-domain astronomy, redshift estimation, and practical NLP/ML engineering—summed up by a personal motto that "NLP no longer exists," reflecting a focus on applied, cross-disciplinary solutions. Colleagues value his ability to lead survey-scale projects while keeping a coder’s eye for robust, deployable pipelines.
10 years of coding experience
2 years of employment as a software developer
Master’s Degree, Computer Science, 7.8/10, Master’s Degree, Computer Science, 7.8/10 at Radboud University Nijmegen
High School, mathematics, physics and computer science, High School, mathematics, physics and computer science at High School No. III in Zamość
Master's Degree, Computer Science, 4.8/5.0, Master's Degree, Computer Science, 4.8/5.0 at Jagiellonian University
Doctor of Philosophy - PhD, Astrophysics, 5.0/5.0, Doctor of Philosophy - PhD, Astrophysics, 5.0/5.0 at National Centre for Nuclear Research, Poland
English, Polish