Short Bio
DATA DRIVEN MANAGEMENT
Sebastian Goldt
Assistant Professor, Theory of Neural Networks, SISSA - Italy
Visiting Faculty, Data-Driven Management Area, MIB Trieste School of Management
Sebastian leads the Theory of neural networks group at SISSA. The goal of his group is to develop theories of learning artificial and biological neural networks. His current focus is on understanding how the interplay of data structure, learning rule and architecture shapes learning.
Sebastian studied physics at Cambridge University and did his PhD with Udo Seifert at the University of Stuttgart, where he worked on the stochastic thermodynamics of learning. He then spent three years as a post-doc with Florent Krzakala and Lenka Zdeborovà in Paris working at the interface between machine learning and statistical physics. He joined SISSA in September 2020.
Assistant Professor, Theory of Neural Networks, SISSA - Italy
Visiting Faculty, Data-Driven Management Area, MIB Trieste School of Management
Sebastian leads the Theory of neural networks group at SISSA. The goal of his group is to develop theories of learning artificial and biological neural networks. His current focus is on understanding how the interplay of data structure, learning rule and architecture shapes learning.
Sebastian studied physics at Cambridge University and did his PhD with Udo Seifert at the University of Stuttgart, where he worked on the stochastic thermodynamics of learning. He then spent three years as a post-doc with Florent Krzakala and Lenka Zdeborovà in Paris working at the interface between machine learning and statistical physics. He joined SISSA in September 2020.
