Abel Peirson is a quantitative researcher and PhD physicist blending eight years of experience in ML-driven astrophysics and quantitative finance, currently at Citadel and a student researcher on Google AI’s Brain team. He holds a funded Stanford PhD and NASA FINESST award for applying machine learning to X-ray polarimetry and blazar jet physics, and previously modeled jets at Oxford and CERN-era beam diagnostics. Abel co-founded an AI-driven iOS app, Dank Learning, demonstrating product-minded engineering alongside deep research expertise. His background spans building dynamical neural models of fly navigation to unsupervised visual learning, showing a rare ability to move between theoretical physics, applied ML research, and production systems. Based in New York, he mixes academic rigor with startup pragmatism and a track record of securing competitive research funding. A less obvious strength is his hands-on experience translating complex physical instrumentation problems into deployable ML solutions.
8 years of coding experience
5 years of employment as a software developer
Master of Physics (MPhys), Physics, First Class (Distinction), Top 10%, Master of Physics (MPhys), Physics, First Class (Distinction), Top 10% at University of Oxford
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Stanford University
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