Postdoctoral Researcher at INAF - Istituto Nazionale di Astrofisica
Forlì, Emilia-Romagna, Italy
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Summary
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Lorenzo Monti is a postdoctoral researcher at INAF with a decade of experience applying machine learning and deep learning to astrophysical problems, notably time-series analysis of RR Lyrae stars and Gaia mission data. His background spans software development for radio telescopes and integration of receivers into operational observatory systems, combining hands-on control/simulation work with data-driven modeling. He holds a PhD in Computer Science and Engineering from the University of Bologna and has moved fluidly between research software engineering and academic research. Based in Forlì, Italy, Lorenzo pairs rigorous algorithm development with practical instrumentation experience—plus a penchant for guitar and espresso that keeps late-night model tuning human.
10 years of coding experience
5 years of employment as a software developer
Dottorato di Ricerca, Computer Science & Engineering, Dottorato di Ricerca, Computer Science & Engineering at Alma Mater Studiorum - Università di Bologna
Computer Science, Computer Science at Studente presso Ingegneria e Scienze Informatiche
Contributions:5 PRs, 50 pushes, 2 branches in 5 years
reactnextjs
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Lorenzo Monti - Postdoctoral Researcher at INAF - Istituto Nazionale di Astrofisica