David Lüdke

Technical University of Munich
Department of Informatics - I26
Boltzmannstr. 3
85748 Garching b. München
Germany

Room: 00.11.064
Phone: +49 89 289-17080
E-Mail: d [dot] luedke [at] tum [dot] de
Google scholar

Interests

• Generative modeling for complex data domains
• Machine learning for graphs and temporal data
• Diffusion models, neural differential equations, normalizing flows

Research Background

• 2022: Master's Thesis: Neural Flow-Based Deformation for Statistical Shape Modelling

Education

• 2019 - 2022: M.Sc. Business Informatics, Goethe University Frankfurt
• 2020 - 2021: Exchange Student at the Computer Science and Physics Department, Chalmers University of Technology
• 2015 - 2019: B.Sc. Business Administration, Freie Universität Berlin

Academic Honors and Awards

• Best Student Award 2022/2023 (M.Sc. Business Informatics), Goethe University Frankfurt
• Deutschlandstipendium, Goethe University Frankfurt