Jackson Mcclintock
Data Scientist
Cary, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolJackson 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.
10 years of coding experience
Bachelor 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
Github Skills (73)
ivy10
python10
mxnet10
abstraction10
deep-learning10
translation10
pytorch10
converter10
machine-learning10
numpy9
neural-network9
jax9
gpu9
data-science9
tensorflow9
Programming languages (6)
Github contributions (5)
jacksondm33/bingrewards
Aug 2017 - Jan 2022
Contributions:41 commits, 11 PRs, 34 pushes in 4 years 5 months
jacksondm33/LibDS
Apr 2018 - Jan 2022
Library for controling FRC robots
Contributions:8 PRs, 33 pushes, 10 branches in 3 years 10 months
frcroboticsrobots
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