Elliott Forney is a Principal R&D Scientist with 12 years of experience building AI/ML systems that span computer vision, remote sensing, NLP and biomedical signal analysis. He has led development of deep learning pipelines for high-resolution and multispectral satellite imagery, experimented with self-supervised foundation models and generative approaches, and architected reusable PyTorch training frameworks that emphasize reproducibility and metrics tracking. Prior roles at IBM saw him design inner-source NLP libraries and cloud-native microservices, while his PhD work advanced EEG analysis for brain-computer interfaces—evidence of a rare blend of production engineering and rigorous academic research. Based in Colorado, he thrives mentoring junior researchers and translating cutting-edge algorithms into operational products that solve real-world problems. A subtle but distinguishing trait is his cross-domain fluency: he moves comfortably between low-level HPC and systems administration up to model design and product integration.
12 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Colorado State University
ReGenerator - Reentrant Data Stream Generators in Python
Contributions:2 reviews, 27 commits, 4 PRs in 6 months
data-streampython
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