Tyler Hayes
AI Research Scientist at Arsenale Bioyards
City of Rochester, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTyler Hayes is an AI research scientist with 8+ years advancing lifelong and open-world machine learning, currently applying AI to bio-related problems at Arsenale Bioyards after roles at Georgia Tech and NAVER LABS Europe. His work spans novel class discovery, open-vocabulary object detection, and explainable vision-language models, with publications in top venues (CVPR, TMLR, ECCV) and two US patent applications filed. Tyler earned a PhD in Imaging Science from RIT, where he developed efficient continual learning methods and produced award-winning CV work, and he also holds MS and BS degrees in applied mathematics. He’s contributed to community building as a former Board Member of ContinualAI and organizer of major workshops and tutorials across CV and NeurIPS/ICCV/AAAI forums. An unusual tidbit: he has an Erdős number of 3, reflecting cross-disciplinary scholarly connections beyond his AI focus.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Imaging Science, Doctor of Philosophy (Ph.D.) Imaging Science at Rochester Institute of Technology
Github Skills (20)
evaluation10
pytorch9
deep-learning9
protein-structure8
incremental-learning8
classification6
representation-learning6
gpu5
machine-learning5
visualization5
novelty-detection4
neural-network4
transfer-learning4
computer-vision3
object-detection3
Programming languages (3)
Github contributions (5)
tyler-hayes/Stream-51
Apr 2020 - Feb 2022
The Stream-51 dataset for streaming classification and novelty detection from videos.
Contributions:15 commits, 14 pushes, 1 branch in 1 year 10 months
classificationnovelty-detection
tyler-hayes/tyler-hayes.github.io
Jun 2018 - Jan 2026
Contributions:123 pushes, 1 branch in 7 years 8 months
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