André Fernandes is a researcher and PhD candidate in Atomic Physics based in Évora, combining theoretical astrophysics and atomic-physics expertise with five years of applied software and ML experience. He develops and validates high-accuracy atomic datasets and spectral-fitting tools used to model plasma ionization and X-ray emission, bridging theory and practical diagnostics for astrophysical and energy applications. Prior roles include building object-detection and NLP models, .NET AI-enabled apps, and RPA solutions, giving him a rare mix of high-performance scientific computing and production software engineering. He also teaches data science with Julia and visualization using Veusz, translating research workflows into reproducible, shareable pipelines. Notably, he implemented expanded atomic databases and custom minimization routines (Levenberg–Marquardt) to reconcile simulated and experimental spectra, demonstrating both algorithmic depth and attention to data quality.
5 years of coding experience
2 years of employment as a software developer
Engineering Physics/Applied Physics, Engineering Physics/Applied Physics at University of Twente
Doctor of Philosophy - PhD, Atomic Physics, Doctor of Philosophy - PhD, Atomic Physics at Universidade Nova de Lisboa
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André Fernandes - Researcher at University of Évora