Adam Casson is a Staff Research Engineer with nine years of experience developing neural networks for histopathology and cancer detection, now based in New York. He specializes in weakly supervised and self-supervised computer vision, scaling and optimizing distributed training and inference on GPU clusters, and building robust, fault-tolerant ML infrastructure. At Paige (now part of Tempus AI) he advanced large-scale medical imaging pipelines and productionized models for clinical workflows. Earlier roles span multimodal deep learning and NLP-driven embedding systems, reflecting a strong interdisciplinary foundation from an Imaging Science degree. Colleagues describe him as equally comfortable prototyping novel research models and hardening them for high-performance production environments.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Imaging Science, Bachelor of Science - BS Imaging Science at Rochester Institute of Technology
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Adam Casson - Staff Research Engineer at Tempus AI