Elijah Cole
Senior Research Scientist, Team Lead at GenBio AI
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolElijah Cole is a Senior Research Scientist and team lead based in Palo Alto with 11 years of experience building machine learning and computer vision systems to accelerate scientific discovery. He holds a Ph.D. in Computing and Mathematical Sciences from Caltech and combines deep academic training with hands-on industry work across startups and research labs, including founding-team AI work at GenBio AI and biology-focused ML at Altos Labs. His research spans data-efficient learning, self-supervision, and multimodal models applied to complex biological data like spatial transcriptomics and histology. Elijah has a track record of translating research into practical tools for species recognition, remote sensing, and experimental biology, and he often tackles noisy, biased, or multimodal datasets that challenge standard ML approaches. Notably, he bridges disciplines—from signal processing at the Air Force Research Laboratory to bioacoustics and medical imaging during his undergraduate work—bringing a systems-oriented perspective to scientific ML problems.
10 years of coding experience
6 years of employment as a software developer
B.S.E., Double Major in Electrical & Computer Engineering and Mathematics, B.S.E., Double Major in Electrical & Computer Engineering and Mathematics at Duke UniversityCalifornia Institute of Technology
English
Stackoverflow
59reputation
5kreached
5answers
0questions
Github Skills (32)
representation-learning9
multilabel-classification9
computer-vision8
hierarchy8
taxonomy8
geospatial7
deep-learning7
transcriptomics7
savechanges6
bioinformatics6
php6
custom-fields6
menu6
wordpress6
jquery6
Programming languages (3)
Github contributions (5)
visipedia/inat_loc
Jul 2022 - Oct 2022
Details for the iNaturalist Localization Dataset.
Contributions:15 commits, 1 PR, 9 pushes in 3 months
computer-visioneccv2022fine-grainedhierarchyinaturalist
elijahcole/single-positive-multi-label
May 2021 - Apr 2022
Multi-Label Learning from Single Positive Labels - CVPR 2021
Contributions:18 commits, 2 PRs, 17 pushes in 10 months
pytorchcomputer-visionmultilabel-classificationmulti-label-classificationmulti-label
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