Dr. Vincent Hellendorn

Assistant Professor

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Biography

Vincent Hellendorn is an Assistant Professor specializing in making safe and effective programming accessible through intelligent software assistance tools. His research focuses on leveraging AI-based tools to extract expertise from public software data on platforms such as GitHub and StackOverflow, aiming to provide timely assistance to new and inexperienced developers. He investigates new applications of AI in Software Engineering to comprehensively understand community needs and deliver practical value. His notable contributions have been recognized in several prestigious conferences, including FSE'18, FSE'21, and ICSE'19. Vincent's work also involves analyzing current models and trends to ensure impactful outcomes, with papers appearing in venues like FSE and CACM. Additionally, he has been pivotal in building new models based on insights gathered from the software engineering community, contributing to esteemed conferences such as ICLR and NeurIPS. His most recent project, PolyCoder, is recognized as the largest open-source model specifically developed for source code.

Research Interests

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.