Stochastic Methods in Data Science
Prof. Dr. Thorsten Neuschel
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Research Interests
I am an analyst and probabilist specialized in the development and application of asymptotic methods, and I am interested in high-dimensional problems arising from pure and applied mathematics, physics and Data Science, where one main focus of my research is connected to the field of Random Matrix Theory and the universality phenomena arising in these contexts.
Further Information
https://sites.google.com/view/thorstenneuschel
Teaching
Lecture (VORL)
Exercise (UE)
Main seminar (HS)
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Bachelorseminar "Markov-Ketten und Anwendungen"
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Seminar "Markov-Ketten und Anwendungen"
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Seminar Spin Glasses with Applications to Deep Learning
Lecture with exercise (V/UE)