Nathan Mahynski

Principal AI Scientist at Altamira Technologies Corporation

State College, Pennsylvania, United States
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Summary

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Senior
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Top School
Nathan Mahynski is a Principal AI Scientist with nine years of experience building AI/ML and molecular simulation tools that translate complex science into operational solutions for intelligence, space, and defense partners. He moved from a research career at NIST—where he led a chemical informatics group and developed simulation code and ML pipelines for materials authentication, colloidal self-assembly, and fluid property prediction—to applied AI work at Altamira. Holding a PhD in Chemical Engineering from Princeton with NSF support and a certificate in Computational and Information Science, he blends deep computational thermodynamics expertise with practical software engineering. Nathan routinely partners with domain experts to accelerate discovery and decision-making through data-driven analytics and bespoke modeling toolchains. Notably, his background spans both fundamental soft-matter research and production-grade AI systems, enabling him to bridge theory, code, and mission needs. Based in State College, PA, he brings interdisciplinary rigor and an aptitude for turning nuanced scientific problems into deployable technical solutions.
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor of Science (B.S.), Chemical Engineering, 2010, Bachelor of Science (B.S.), Chemical Engineering, 2010 at Purdue University
bookDoctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at Princeton University
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Github Skills (20)

meta-learning9
hyperparameter-tuning8
automated-machine-learning8
feature-selection8
feature-engineering7
automl6
python6
scikit-learn5
hyperparameter-optimization5
machine-learning5
scikit5
data-science4
jekyll-theme3
jekyll3
ruler3

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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mahynski/mahynski

Feb 2023 - Feb 2025

Contributions:352 pushes, 1 branch in 2 years 1 month
A course in chemometric (data) carpentry.
Contributions:1 release, 2 PRs, 568 pushes in 7 months
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