Scholar
André Silva
Google Scholar ID: PZoplKIAAAAJ
KTH Royal Institute of Technology
Citations & Impact
Citations
190
H-index
6
i10-index
6
Publications
10
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of a Google PhD Fellowship
Research Experience
- Main research area involves applying machine learning to code processing; involved in several projects related to program repair, including but not limited to developing LLM fine-tuning methods for program repair, establishing executable code benchmarks, etc.
Education
- PhD Student at KTH Royal Institute of Technology
Background
- Research interests include machine learning on code. His PhD topic is differentiable program repair: translating programs into neural networks to perform repair at the numerical level. Additionally, he has developed supervised and self-supervised LLM fine-tuning approaches for program repair, created executable code benchmarks, evaluated the latest frontier models, and developed a tool to collect executable code datasets.
Miscellany
- Co-founder at Codeset
