Research Interests
I am mainly interested in the model-theoretic study of ordered algebraic structures and their connections to Theoretical Computer Science. This involves generalized power series fields, order types, formal power series, weighted automata, weighted monadic second-order logic, archimedean ordered fields, the NIP property and learnability of neural networks. Many of the questions motivating my work originate from Mathematical Logic and have connections to Valuation Theory, Real Algebra, Set Theory, Automata Theory and Decidability Theory.
Doctoral Research Project
Preliminary Title:
Archimedean Ordered Fields with NIP (since July 2022)
Supervisors:
Prof. Dr. Salma Kuhlmann and
Dr. Lothar Sebastian Krapp
University of Konstanz
As part of my doctoral project, from October 2022 to and including March 2025 I was involved in the research project
Fundamentale Grenzen von Lernprozessen in künstlichen neuronalen Netzen (in English:
Fundamental Limits of Learning Processes in Artificial Neural Networks), which was led by
Dr. Lothar Sebastian Krapp and supported by the funding program
MINT-Innovationen 2022 (in English: STEM-Innovations 2022) of Vector Stiftung.
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