Michael Tynes
Doctoral Student at University of Chicago
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.
8 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 (43)
meta10
specification10
structured-data10
readable10
dataset-generation9
abstraction-layer9
abstraction9
physics-informed-neural-networks9
data-capture9
extensible9
rdf9
python8
chemistry8
machine-learning8
materials-informatics8
Programming languages (5)
Github contributions (5)
darkreactions/ESCALATE
Jul 2020 - May 2022
ESCALATE (Experiment Specification, Capture and Laboratory Automation Technology) an ontological framework and open-source software package provides an abstraction layer for human- and machine-readable experiment specification, comprehensive and extensible (meta-)data capture, and structured data reporting.
Contributions:5 reviews, 207 commits, 55 PRs in 1 year 10 months
laboratorymetaabstraction-layerspecificationdata-capture
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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