Arnau Quera-Bofarull is a senior researcher and computational scientist with nine years of experience at the interface of complexity science, Bayesian statistics and machine learning, currently based in New York. He has led research on calibrating agent-based models and AI-for-complexity projects across institutions including Oxford, MIT Media Lab and UN Global Pulse, and now works at macrocosm. Trained as a physicist and mathematician with a PhD in Astrophysics, he brings a strong quantitative foundation to applied problems like epidemic modeling for NHS and refugee settings. A fluent Julia practitioner, he combines hands-on coding with theoretical insight to tackle high-dimensional inference and model calibration challenges. Notably, his background spans astrophysics, economics-focused complexity research, and real-world public-health modeling, giving him an uncommon cross-disciplinary perspective.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Durham University
Master's degree, Physics, Master's degree, Physics at Ruprecht-Karls-Universität Heidelberg
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Universitat de Barcelona
Contributions:57 pushes, 1 branch in 7 years 4 months
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