Edward Aftandilian -

Registered user since Mon 28 Aug 2017

Name:Edward Aftandilian

Bio:

Broadly, I am interested in developer productivity and helping developers write better code.

Currently, I am a researcher at GitHub, where I lead a team focused on improving the quality of completions in GitHub Copilot. GitHub Copilot delivers ML-powered, multi-line code completions in popular IDEs such as VS Code, Visual Studio, and IntelliJ.

Previously, I led the Java Tools and JVM teams at Google. While at Google, I worked on:

Error Prone, Google’s static analysis tool for Java
Tricorder, Google’s static analysis platform
Bazel, Google’s build system

Country:United States

Affiliation:GitHub

Personal website:https://eaftan.github.io

Research interests:Machine learning for code, static analysis, engineering productivity, virtual machines, Java

Contributions

ICSE 2024	Committee Member in Software Engineering in Practice within the Software Engineering in Practice-track
MAPS 2022	Author of Productivity Assessment of Neural Code Completion within the MAPS 2022-track
ICSE 2019	Author of Panel Post-PhD career: What are the tradeoffs between a research career in industry, academia (research track, teaching track), and government? within the Student Mentoring Workshop-track Author of Analyzing and Repairing Compilation Errors within the Posters-track Author of Type Migration in Ultra-Large-Scale Codebases within the Technical Track-track
ISMM 2018	Committee Member in Program Committee
SPLASH 2017	Author of Detecting Argument Selection Defects within the OOPSLA-track
PLDI 2017	Committee Member in Program Committee
PLDI 2016	Committee Member in External Review Committee
PLDI 2015	Committee Member in External Review Committee within the Research Papers-track
SPLASH 2011	Author of Asynchronous Assertions within the OOPSLA-track