Joel Stremmel
Senior Manager Of Applied Research (IR NLP) at Thomson Reuters
Iowa City, Iowa, United States
Summary
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Senior🎓
Top SchoolJoel Stremmel is a Senior Manager of Applied Research specializing in information retrieval and NLP, with a decade of experience building and scaling language-model-driven solutions for healthcare. He has led cross-functional teams and developed production-grade pipelines and libraries that enabled a 100x runtime improvement on long-document information extraction and measurable gains in clinical informativeness. At Optum he architected long-document LMs, distributed training pipelines, and an auto-ML toolkit that supported enterprise-wide deployment across millions of charts and directly impacted risk adjustment and cost-savings. Now at Thomson Reuters he continues applied IR/NLP work while remaining an active open-source advocate. Joel combines hands-on deep learning engineering, distributed systems know-how, and product-focused leadership grounded in an MS in Data Science.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of WashingtonBachelor of Arts (B.A.) Mathematics Philosophy, Bachelor of Arts (B.A.) Mathematics Philosophy at Gustavus Adolphus College
Stackoverflow
1reputation
0reached
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Github Skills (88)
python10
deep-learning10
ml10
audio10
neural-network10
nlp10
tensorflow10
natural-language-processing10
roberta10
jupyter-notebook10
classification-model10
pytorch10
machine-learning10
recurrent-neural-networks10
llm10
Programming languages (8)
Github contributions (5)
federated-learning-experiments/fl-text-models
Nov 2019 - Apr 2021
Federated learning with text DNNs for DATA 591 at University of Washington.
Contributions:167 commits, 3 PRs, 152 pushes in 1 year 4 months
federated-learning
Optum/retain-keras
May 2020 - Feb 2022
Reimplementation of RETAIN Recurrent Neural Network in Keras
Contributions:3 reviews, 18 commits, 13 PRs in 1 year 9 months
kerasrecurrent-neural-networks
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