Summary
Eduardo Balbinot is a Euclid Postdoctoral Research Fellow with 11 years of experience turning terabyte-scale astronomical surveys into robust discoveries of faint structures like dwarf galaxies and stellar streams. He combines advanced statistical modelling (Bayesian and frequentist), machine learning and high-performance code to extract low signal-to-noise phenomena from heterogeneous datasets and to forward-model realistic dynamical systems. A collaborative leader, he has coordinated international survey efforts (Euclid, Gaia, WEAVE, 4MOST, DES, SDSS) and led science and validation teams while providing instrument engineering support. His work bridges software, instrumentation and science โ from calibration-unit optical bench testing to pipeline development for crowded-field photometry โ and heโs known for rapidly adapting methods across domains including geology and neuroscience.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Astronomy and Astrophysics, Top 10%, Doctor of Philosophy (PhD), Astronomy and Astrophysics, Top 10% at Federal University of Rio Grande do Sul
English, Portuguese, Spanish, French, Italian, Dutch