Scholar
Justin Kay
Google Scholar ID: Qurq7foAAAAJ
MIT
Citations & Impact
Citations
106
H-index
4
i10-index
3
Publications
10
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Selected publications include 'Consensus-Driven Active Model Selection' (ICCV 2025), 'Align and Distill: Unifying and Improving Domain Adaptive Object Detection' (TMLR 2025), etc.; organized multiple workshops and gave invited talks at various international conferences; received awards such as ICCV Highlight, TMLR Featured Certification, etc.
Research Experience
- Before joining MIT, he co-founded Ai.Fish, a computer vision company focused on sustainable fisheries management and ocean conservation. From 2021-2023, he was a researcher in the Computational Vision Lab at Caltech, advised by Pietro Perona.
Education
- BS in EECS from UC Berkeley; PhD at MIT, advised by Sara Beery.
Background
- A PhD student at MIT, focusing on making computer vision and machine learning systems more deployable and informative for science and decision-making, particularly for environmental and climate applications.
Miscellany
- Personal interests and other activities not explicitly mentioned.
