Summary
Borjan Geshkovski is a tenured research faculty member at Inria and Sorbonne Université with a decade of experience advancing the mathematical foundations of machine learning. After earning a PhD from Universidad Autónoma de Madrid and MSc/BS degrees from Université de Bordeaux, he completed a postdoctoral appointment at MIT Mathematics, where he deepened his focus on rigorous theory behind learning algorithms. His work bridges pure mathematics and applied ML, emphasizing provable guarantees and conceptual clarity rather than engineering heuristics. Based in Paris, he combines academic leadership with active collaboration across European and US research networks, bringing a rare blend of formalism and practical insight to foundational ML problems.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Universidad Autónoma de Madrid
Master of Science - MS, Master of Science - MS at Université de Bordeaux
French, English, Macedonian, Spanish