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Caleb Reagor

Professional Summary

Ph.D. data and machine learning scientist with six years of experience developing and training deep neural networks for spatial, temporal, vision, and network-structured data. Skilled in supervised and unsupervised methods including deep learning, classical ML, and stochastic modeling.

Career Highlights

Work Postdoctoral Researcher, Karolinska Institutet (Remote — New York, NY)

School Ph.D., Computational Biology, Rockefeller University (New York, NY)