Scholar
Gianluca Bencomo
Google Scholar ID: xSS55BgAAAAJ
PhD Student, Princeton University
Citations & Impact
Citations
36
H-index
3
i10-index
2
Publications
9
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published 'Hindsight Merging: Diverse Data Generation with Language Models' at UAI 2025; published 'Teasing Apart Architecture and Initial Weights as Sources of Inductive Bias in Neural Networks' at CogSci 2025.
Research Experience
- At Efference, building cameras that replicate the robustness and efficiency of human vision; at Princeton, working on optimization and machine learning methods inspired by neuroscience; at Harvard Medical School, studying visual decision-making; at NASA's Jet Propulsion Laboratory, developing new methods for converting CO2 to O2 on Mars.
Education
- PhD in Computer Science from Princeton University, advised by Tom Griffiths; undergraduate degree in Biochemistry from Harvard Medical School, studying visual decision-making, advised by Dr. Richard Born; worked at NASA's Jet Propulsion Laboratory, developing new methods for converting CO2 to O2 on Mars, advised by Dr. Simon Jones.
Background
- Founder of Efference and a PhD student in Computer Science at Princeton University, with research interests in optimization and machine learning methods inspired by neuroscience, particularly how physical and neurological development shape optimization landscapes and neural architectures inspired by the fruit fly optic lobe.
Miscellany
- Enjoys shooting, surfing, and sailing in his free time.
Co-authors