Summary
Mikhail Evtikhiev is a researcher at JetBrains Research's Code Modelling Group, where he applies advanced mathematical methods to improve deep learning on code. He is focused on underrepresented programming languages—together they account for more than half of all code, yet today have few DL models or benchmarks. He earned a PhD in Theoretical Physics from the Weizmann Institute, specializing in string theory and superconformal field theories, with a strong toolkit in group theory, differential equations, and algebraic geometry. Earlier at JetBrains Intelligent Collaboration Tools Lab, he conducted surveys and semi-structured interviews, complementing theoretical work with user-centric research. Based in Paphos, Cyprus, he brings about a decade of research and teaching experience, balancing rigorous theory with practical experimentation to advance code-aware AI.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Physics, 5.0 out of 5, Bachelor of Science (B.S.), Physics, 5.0 out of 5 at Санкт-Петербургский Государственный Политехнический Университет
Weizmann Institute of Science
English, Russian, Hebrew, German