Summary
David Guszejnov is an internal consultant and former NASA Hubble Fellow with nine years of experience turning complex scientific problems into clear, actionable models. Trained as a physicist with a PhD from Caltech and a strong background in star formation research, he blends deep quantitative analysis with practical data science—recently applying NLP to map job descriptions to standard classifications. Based in Arlington, MA, he has moved between academia and industry roles, bringing rigorous research methodologies to product-focused problems at Ab Initio Software and Canaria. He is skilled at distilling noisy, high-dimensional systems into interpretable models, a talent honed studying fragmented, multiscale astrophysical processes. Colleagues value his ability to translate advanced theory into reproducible pipelines and decision-ready insights. Beyond his research pedigree, he pairs teaching experience in physics and math with hands-on implementation of data-driven solutions.
9 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Physics, Master of Science (MSc), Physics at Budapest University of Technology and Economics
California Institute of Technology
English, Hungarian