Sebastian Macaluso
Senior Researcher at Telefónica Innovación Digital
Barcelona, Catalonia, Spain
Summary
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Senior🎓
Top SchoolSebastian Macaluso is a Senior Researcher based in Barcelona with nine years of experience applying reinforcement learning, deep learning and quantum machine learning to challenging scientific and industry problems. He holds a PhD in Theoretical and Mathematical Physics from Rutgers and has a strong track record of transitioning ideas into production-ready research—from generating 10+ TB simulation datasets to training CNNs on millions of images for LHC jet classification. His work blends rigorous theoretical physics with practical software engineering (Python, C++, TensorFlow/Keras), and has led to peer-reviewed publications and analyses adopted by experimental collaborations. At Telefónica Innovación Digital he translates cutting-edge ML research into applied solutions while his postdoctoral roles at NYU and Rutgers underline deep expertise in particle physics and computational modeling. He’s comfortable optimizing models end-to-end—architecture, training regimes and data pipelines—and brings the uncommon combination of quantum ML interest with hands-on large-scale simulation experience.
8 years of coding experience
4 years of employment as a software developer
Licenciatura en Ciencias Fisicas (BA + MS in Physics), GPA: 9.51/10, Licenciatura en Ciencias Fisicas (BA + MS in Physics), GPA: 9.51/10 at University of Buenos AiresPhD in Physics, Theoretical and Mathematical Physics, GPA: 3.94/4, PhD in Physics, Theoretical and Mathematical Physics, GPA: 3.94/4 at Rutgers University
English, Spanish, Italian
Github Skills (11)
energy10
snl-applications10
high-energy-physics10
physics10
jet2
recursive2
batch1
pytorch1
deep-learning1
gpu1
neural-network1
Programming languages (4)
Github contributions (5)
diana-hep/TreeNiN
Dec 2018 - May 2019
Contributions:2 releases, 106 commits, 88 pushes in 5 months
SebastianMacaluso/ClusterTrellis
Dec 2020 - Oct 2021
Contributions:54 commits, 21 pushes in 10 months
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