Summary
Mikhail Evtikhiev is a researcher at JetBrains Research's Code Modelling Group with a decade of experience applying advanced mathematical methods to improve deep learning models for source code, especially for underrepresented programming languages that constitute over half of written code. He holds a PhD in Theoretical Physics from the Weizmann Institute, where his work on string theory and superconformal field theories honed deep expertise in group theory, differential and algebraic geometry, and numerical methods. Beyond theory, Mikhail combines empirical research with human-centered methods, having led surveys and semi-structured interviews at JetBrains’ Intelligent Collaboration Tools Lab. His background as an outreach coordinator and teaching assistant demonstrates both strong communication skills and a track record of growing academic pipelines and mentoring students. Based in Cyprus, he bridges rigorous mathematical theory and pragmatic ML research to tackle real-world gaps in code intelligence.
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
Doctor of Philosophy (Ph.D.), Theoretical Physics, Doctor of Philosophy (Ph.D.), Theoretical Physics at Weizmann Institute of Science
English, Russian, Hebrew, German