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Florian Beier is a researcher in Applied Mathematics at the Technical University of Berlin, focusing on inverse imaging problems and generative models. He has been actively involved in organizing conferences and workshops, such as the German-speaking Inverse Problems Society annual meeting and various workshops on machine learning and image processing. He has several accepted papers in prestigious conferences including ICML and CVPR. Additionally, he has been awarded the DFG Walter Benjamin Fellowship starting in 2026, recognizing his contributions to the field. His research interests encompass a wide range of topics within Applied Mathematics, particularly in mathematical image analysis, machine learning applications, and optimal transport theory.
Technical University of Berlin • Berlin, Germany
Conducting research in applied mathematics, focusing on inverse problems and generative models.
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.