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.
10 years of coding experience
10 years of employment as a software developer
Computer Science, Computer Science at BloomTech
Physics, Physics at Montgomery College
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at New York University
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Maryland
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Mathew Calkins - Doctoral Student at New York University