Eugeniu Plamadeala is an applied scientist in Seattle with 8 years of experience turning deep theoretical physics into practical models for complex physical and neural systems. He has transitioned academic rigor—from a PhD in theoretical physics and a Moore Postdoctoral Fellowship—into industry impact at Amazon, Neuralink, and NASA Ames, building quantitative and quantum-aware algorithms. His work spans brain–computer decoding, near-term quantum algorithms, and analytic-numerical studies of quantum chaos and topological phases, reflecting both mathematical depth and production-minded implementation. A clear communicator who presents to large audiences, he pairs representation-theory-informed methods with adaptive numerical techniques to solve noisy, real-world problems. Known as a learner and doer, he brings a rare combination of pure-math proofs and hands-on coding to engineer reliable models under physical constraints.
8 years of coding experience
1 year of employment as a software developer
Baccalaureate, Baccalaureate at Liceul Moldo-Turc
California Institute of Technology
PhD, Theoretical Physics, PhD, Theoretical Physics at UC Santa Barbara
Web UI for semi-automatically importing external data into beancount
Contributions:40 pushes, 16 branches in 4 years 2 months
semibeancountimportingweb-ui
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