Hello!

My name is Mikhail (Misha) Evtikhiev, I am a researcher in the Machine Learning Methods in Software Engineering lab at JetBrains Research.

Background

In 2013, I got a Bachelor’s degree with honors in Physics from St Petersburg Polytechnical University, majoring in Astrophysics. I did my graduate studies at Weizmann Institute of Science, majoring in Theoretical Physics. I got my MSc in 2015 and defended my PhD in 2020. My PhD thesis subject was “On Superconformal Field Theories and Little String Theories”.

I joined Machine Learning Methods in Software Engineering (ML4SE) lab at JetBrains in September 2020, and from December 2020 till December 2023 I was also working in the Intelligent Collaboration Tools Lab (ICTL). At the ICTL lab, I studied how engineers work in a team, and how can we help them to manage teamwork-related problems. I used exploratory interviews and surveys to understand the pain points better, and devise approaches to create tools that will address these pain points.

Research

I am interested in measuring and improving performance of deep learning models for code. I work on that at Machine Learning Methods in Software Engineering group, and currently I am focused on the low-resource programming languages.