Collin Mccarthy
Research Scientist at NVIDIA
Truckee, California, United States
Summary
👤
Senior🎓
Top SchoolCollin Mccarthy is a research scientist specializing in efficient vision foundation models for multi-modal large language models, currently at NVIDIA after a PhD at UC Davis. Over 12 years he has blended GPU systems work with applied deep learning, moving from high-throughput GPGPU algorithms to high-resolution perception tasks like panoptic segmentation and object detection. His work emphasizes efficiency—extending ViTs and CNNs to handle large images—and bridges low-level GPU optimization with model-focused research. He has industrial experience deploying ML systems for security-critical applications (airport baggage explosive detection) and spent a summer as an NVIDIA research intern before joining full-time, reflecting a practical focus on production-ready research. Based in Truckee, California, he brings a rare combination of systems-level throughput engineering and cutting-edge computer vision for multi-modal AI.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of California, DavisBachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at Colorado College
English, Spanish
Stackoverflow
61reputation
18kreached
2answers
0questions
Github Skills (200)
cnn-classification10
python10
toolbox10
mixnet10
mscoco10
deep-learning10
visual-studio10
gpu10
vision-transformer10
gpu-acceleration10
backbone10
efficientnet10
collaboration10
yaml-configuration10
distributed-training10
Programming languages (9)
Github contributions (5)
collinmccarthy/wandb-scripts
May 2024 - Jan 2025
Wandb scripts
Contributions:1 review, 1 PR, 12 pushes in 8 months
collinmccarthy/RADIO
Jun 2024 - Jul 2024
Extension of https://github.com/NVlabs/RADIO for further evaluation
Contributions:9 pushes in 1 month
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