I’m a Ph.D. student under the supervision of Prof. Eran Yahav. My research focuses on source code representations for machine learning models. We research machine learning approaches for solving code-related tasks such as code completion, edit completion, predicting method names, and automatic documentation generation.  My main interest is how to represent the code in such tasks. I’m also interested in methods for processing graphs using deep neural networks.

Publications

A Structural Model for Contextual Code Changes

code2seq: Generating Sequences from Structured Representations of Code

Service

  • Reviewer: MSR’2021 Mining Challange