Scholar
Vincent Hellendoorn
Google Scholar ID: PfYrc5kAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
12,487
H-index
26
i10-index
34
Publications
20
Co-authors
4
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications: FSE'18, FSE'21 IRV, EMSE'21, ICSE'19, FSE'21, CACM'22, ICLR'20, NeurIPS'21, ICLR'22. Developed PolyCoder, which was briefly the largest open-source model trained exclusively on source code.
Research Experience
- 1. Investigating new applications of AI in SE to understand the community’s needs broadly and provide practical value (e.g., FSE’18, FSE’21 IRV, EMSE’21); 2. Analyzing current models and trends to make sure our results are impactful (ICSE’19, FSE’21, CACM’22); 3. Building new models based on these insights (ICLR’20, NeurIPS’21, ICLR’22), including PolyCoder, briefly the largest open-source model trained exclusively on source code.
Background
- AI4SE Researcher, Assistant Professor at CMU. A Research Scientist at Google DeepMind, developing intelligent tools for software engineering and teaching LLMs to reason. Currently on leave from CMU to work at GDM.
Miscellany
- Contact: vhellendoorn@{google.com|cmu.edu}. GitHub, Bluesky, Scholar.
