Taylor Childers
Deputy Technical Director For ALCF-4 Project, Computer Scientist at Argonne National Laboratory
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolTaylor Childers is a computer scientist and deputy technical director leading Argonne’s ALCF-4 supercomputer acquisition, with a decade of experience scaling deep learning and simulation workloads for scientific discovery. A former CERN physicist who contributed to the Higgs Boson discovery, he blends domain expertise in high energy physics with hands-on distributed training on supercomputers to prepare scientists for exascale computing. At Argonne he advances R&D across AI and simulation, collaborating with industry to evaluate next-generation architectures and productionize large-scale ML workflows. He is an active open-source contributor, demonstrating practical ML engineering by adding PyTorch and TensorFlow training and data-pipeline examples to Argonne’s ai-science training series. Based in Chicago, he combines rigorous academic grounding (PhD) with leadership in national-scale computational infrastructure.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of MinnesotaB.S., B.S. at University of Kentucky
German, French
Stackoverflow
373reputation
44kreached
1answer
11questions
Github Skills (14)
machine-learning10
pytorch10
tensorflow10
data-pipelines9
data-pipeline9
mnist8
data-handling6
homebrew6
anaconda6
conda6
enviroment6
database6
django6
datasets6
Programming languages (10)
Github contributions (5)
argonne-lcf/ai-science-training-series
Oct 2021 - Oct 2022
Role in this project:
ML Engineer
ML EngineerContributions:98 commits, 1 PR, 50 pushes in 1 year
Contributions summary:Taylor contributed example code for training MNIST datasets using both PyTorch and TensorFlow. Their initial commits included a PyTorch MNIST example and a TensorFlow MNIST example to the repository. Subsequent commits added data pipelines using the Tensorflow Dataset API, demonstrating knowledge of data loading and preprocessing techniques.
jtchilders/atlas-pointnet
Apr 2019 - Feb 2022
applying pointnet to ATLAS data.
Contributions:113 commits, 2 PRs, 92 pushes in 2 years 10 months
pointnetdata-atlasatlas
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