Jackson Mcclintock

Data Scientist

Cary, North Carolina, United States
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Summary

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Senior
🎓
Top School
Jackson Mcclintock is a data scientist with 10 years of practical experience applying computer science and statistical rigor to deep learning problems, currently focused on diffusion- and GAN-based image-to-image translation for microscopy data at NC State. He has designed and scaled pipelines handling over 100,000 images, developed domain-specific preprocessing (background removal, normalization, artificial backgrounds) and a novel SSIM-based similarity metric to better capture biologically important features. An open-source contributor to a machine learning framework, he has a track record of finding and fixing elusive bugs and writing robust unit tests, reflecting strong software engineering discipline. With dual degrees in Computer Science and Statistics from UNC Chapel Hill (3.94 GPA in Statistics), he blends research-oriented curiosity with production-grade implementation, especially in bioimage informatics and reproducible pipelines.
code10 years of coding experience
bookBachelor of Science - BS, Statistics and Analytics, 3.94, Bachelor of Science - BS, Statistics and Analytics, 3.94 at University of North Carolina at Chapel Hill
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Github Skills (41)

pytorch10
python10
tensorflow10
jax10
numpy9
linux9
machine-learning9
snap9
robot9
gnu9
opengl-es8
android8
opengl8
unix8
robotics7

Programming languages (6)

QMLJavaC++CEmacs LispPython

Github contributions (5)

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jacksondm33/bingrewards

Aug 2017 - Jan 2022

Contributions:41 commits, 11 PRs, 34 pushes in 4 years 5 months
jacksondm33/QDriverStation

Apr 2018 - Jan 2022

Cross-platform clone of the FRC Driver Station
Contributions:2 PRs, 8 pushes, 6 branches in 3 years 10 months
driver
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