Michael Tynes
Doctoral Student at Los Alamos National Laboratory
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolMichael Tynes is a Computer Science Ph.D. student and DOE Computational Science Graduate Fellow based in Chicago, specializing in machine learning for scientific discovery and lab automation. With eight years of research and engineering experience across national labs and academia, he has built ML algorithms for radiochemical optimization and software infrastructure for closed-loop experimental systems. His work spans hands-on wet-lab automation, resource-aware ML compute frameworks, and production-grade tooling for experiment specification, reflecting a rare blend of chemistry, psychology, and CS expertise. At Los Alamos and Fordham he led projects that connected robotics, ELISA workflows, and ML-driven experiment design, demonstrating both domain fluency and practical software delivery. He contributes to open-source lab automation efforts (e.g., ESCALATE Capture) and brings systems thinking to accelerate reproducible, data-driven science.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Psychology, Bachelor of Science (B.S.), Psychology at Fordham UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of ChicagoMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Fordham University Graduate School of Arts and Sciences
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
dataset-generation9
automation9
data-capture8
chemistry8
cheminformatics8
machine-learning8
materials-informatics8
algorithms7
python7
accessor6
scientific-computing5
scipy5
javascript5
language-model4
science4
Programming languages (5)
Github contributions (5)
globus-labs/cascade
Apr 2024 - Jul 2026
Fast and reliable dynamic simulations by concurrently learning, auditing, and using surrogates
Contributions:24 reviews, 17 PRs, 145 pushes in 2 years 3 months
miketynes/cinema_components
Dec 2021 - Aug 2022
A JavaScript library for building Cinema viewers
Contributions:3 reviews, 18 PRs, 86 pushes in 8 months
javascript-libraryjavascriptcinemavideoviewers
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