Summary
Sina Hazratpour is a researcher-engineer with a decade of experience at the intersection of formal theorem proving, category/type theory, and machine learning, currently based in Amsterdam. His work spans synthetic homotopy theory, cubical type theory, and formalization efforts in the Lean proof assistant, including formalizing Reedy categories and contributions connected to Kripke–Joyal semantics. He has taught and developed courses that blend rigorous mathematics with interactive proof assistants and computational foundations of data science, bridging pedagogy and research. Sina’s background combines deep theoretical math (MSc in Mathematics) with postgraduate computer science training, enabling him to translate abstract categorical ideas into machine-checkable formalisms. Notably, he collaborates with leading researchers (e.g., Emily Riehl, Steve Awodey) and applies category-theoretic perspectives to problems in K-theory and equivariant homotopy, making him adept at turning high-level theory into verifiable code.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Western University
Postgraduate Student, Computer Science, Postgraduate Student, Computer Science at University of Birmingham
Johns Hopkins Krieger School of Arts and Sciences
Johns Hopkins Whiting School of Engineering
English, Persian, Dutch