Mathew Calkins

Doctoral Student at New York University

New York, New York, United States
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Summary

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Senior
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Mathew Calkins is a doctoral student in theoretical and mathematical physics at NYU with a decade of experience bridging quantum gravity, quantum information, and machine learning. He previously served as a Software Engineer III at Google working on backend systems, ML, and NLP for Search and Assistant, and has a track record of applied ML roles in industry and research. His academic work spans conformal field theory, celestial amplitudes, toy models of holography, and quantum error correction, complemented by computer simulations of condensed matter. With an MS in Mathematics and a BS in Mathematics, he combines deep formal training with production ML engineering and teaching experience—from bootcamps to university workshops. Colleagues know him for moving fluidly between rigorous theory and pragmatic coding, often leveraging ML tools to probe foundational physics problems.
code10 years of coding experience
job10 years of employment as a software developer
bookComputer Science, Computer Science at BloomTech
bookPhysics, Physics at Montgomery College
bookMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at New York University
bookBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Maryland
languagesEnglish, Spanish, French
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Github Skills (10)

statistics9
sprint8
machine-learning8
data-analysis8
python8
scikit7
dom7
data-science7
javascript6
scikit-learn6

Programming languages (5)

CSSTeXJavaScriptHTMLPython

Github contributions (5)

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mathewphilipc/BabbyCNN

Jan 2018 - Apr 2018

Contributions:87 commits, 81 pushes, 1 branch in 2 months
A sprint designed for teaching the DOM
Contributions:2 PRs in 6 years 8 months
teachingsprintjavascriptdom
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Mathew Calkins - Doctoral Student at New York University