Saikat Chakraborty -

Registered user since Thu 26 Nov 2020

Name:Saikat Chakraborty

Bio:

I am currently a Senior Researcher at the Research in Software Engineering (RiSE) group at Microsoft Research. Earlier, I graduated with Ph.D. in computer Science from Columbia University in the City of New York advised by Professor Baishakhi Ray. I wrote my Ph.D. thesis on Learning to Edit Code.

My primary research area is Software Engineering. In particular, I focus on Artificial Intelligence for Software Engineering (AI4SE). My research passion is Programming Language Processing (PLP) – A coalescence between Software Engineering and Machine Learning. More specifically, I am motivated by building tools and techniques that reduces software engineering practitioners’ burden by automating tasks they have to undergo in their everyday job. Over the years, I have been building developer assistance tools with research collaboration across Software Engineering, Machine Learning, Natural Language Processing.

Country:United States

Affiliation:Microsoft Research

Personal website:https://saikatc.info

Twitter:https://twitter.com/saikatch107

GitHub:https://github.com/saikat107

Research interests:Source Code Modeling, Software Engineering, AI driven program analysis

Contributions

ICSE 2024	Committee Member in Research Track within the Research Track-track
ESEC/FSE 2023	Committee Member in Program Committee within the Research Papers-track Virtualization Platform Chair in Organizing Committee
ASE 2023	Committee Member in Program Committee within the Research Papers-track
ISSTA 2023	Author of CONCORD: Clone-aware Contrastive Learning for Source Code within the Technical Papers-track
ICSE 2023	Author of On ML-Based Program Translation: Perils and Promises within the NIER - New Ideas and Emerging Results-track
ESEC/FSE 2022	Author of NatGen: Generative Pre-training by “Naturalizing” Source Code within the Research Papers-track United States of America in Program Committee within the Demonstrations-track Session Chair of Human/Computer Interaction (part of Research Papers) Session Chair of Program Repair/Synthesis (part of Research Papers)
ICSE 2022	Author of Deep Learning based Vulnerability Detection: Are We There Yet? within the Journal-First Papers-track
ASE 2021	Author of On Multi-Modal Learning of Editing Source Code within the Research Papers-track
ESEC/FSE 2021	Session Chair of Testing—Program Repair 2 (part of Research Papers) Session Chair of Analytics & Software Evolution—Code Recommendation (part of Research Papers) Session Chair of SE & AI—Machine Learning for Software Engineering 2 (part of Research Papers) Session Chair of Analytics & Software Evolution—Code Recommendation (part of Research Papers)
ICSE 2021	Author of CODIT: Code Editing with Tree-Based Neural Models within the Journal-First Papers-track
MSR 2021	Committee Member in Mining Challenge Committee within the Mining Challenge-track