Sebastian Goldt
Associate Professor
Trieste, Friuli-Venezia Giulia, Italy
Summary
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Senior🎓
Top SchoolSebastian Goldt is an associate professor at SISSA in Trieste who leads a research group on the theory of learning in biological and artificial neural networks and teaches in the data science PhD programme. With over a decade of experience bridging theoretical physics and machine learning, he previously held postdoctoral positions at ENS and Université Paris-Saclay and was a visiting researcher at institutions including KITP and Duke. His work combines statistical physics methods with rigorous analysis to probe how learning emerges in large networks, and he also brings those insights to practice as visiting faculty in data-driven management at MIB. Fluent in both foundational theory and interdisciplinary collaboration, he often situates abstract results in applied contexts spanning neuroscience, ML, and management education. An unexpected thread through his career is the sustained use of physics-inspired tools to answer core questions about modern deep learning generalization and training dynamics.
11 years of coding experience
3 years of employment as a software developer
Civil service, Civil service at German Cancer Research CenterAbitur, Abitur at Schule Schloss SalemLina-Hilger GymnasiumMaster’s Degree, Experimental & Theoretical Physics, Master’s Degree, Experimental & Theoretical Physics at University of CambridgeDoctor of Philosophy - PhD, Theoretical Physics, Doctor of Philosophy - PhD, Theoretical Physics at University of Stuttgart
German, English, French, ItalianProgramming languages (1)
Github contributions (5)
sgoldt/nn2pp
Oct 2019 - Nov 2021
Contributions:3 commits, 2 pushes, 1 branch in 2 years
sgoldt/pyscm
Jan 2019 - Oct 2019
Contributions:6 commits, 5 pushes, 1 branch in 9 months
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