Adam Casson
Staff Research Engineer at Tempus AI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAdam 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.
10 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
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (26)
building-blocks9
self-attention9
keras8
action-recognition8
residual-networks7
resnet7
backend6
arxiv6
self-supervised-learning6
pytorch6
preprocessing6
visual-question-answering5
computer-vision5
3d5
imagenet5
Programming languages (4)
Github contributions (5)
adamcasson/adamcasson.github.io
Jul 2016 - Jul 2019
Repo for my personal webpage
Contributions:252 pushes, 3 branches in 3 years
personal-webpagewebpage
adamcasson/resnet152
Jul 2017 - Nov 2019
Adaptation of ResNet-152 to match Keras API with added large input option
Contributions:1 release, 2 commits, 1 PR in 2 years 4 months
keras
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