Felix T.J. Dietrich

Felix T.J. Dietrich is a researcher at the Technical University of Munich specializing in educational technology and software engineering. He completed his Master of Science in Informatics at TUM in November 2023 with a focus on machine learning, natural language processing, and computer vision.

His educational background includes:

• Master of Science in Informatics, Technical University of Munich (2019-2023), Grade: 1.7
• Student Exchange at The University of Tokyo (2020)
• Bachelor of Science in Informatics, Technical University of Munich (2016-2019), Grade: 2.0

Dietrich's research centers on Educational Technology, Learning Analytics, and Adaptive Learning systems, with significant contributions to the Artemis educational platform and Hephaestus project for supporting software engineering teams. His work bridges machine learning applications with practical software development, particularly in iOS and web technologies.

He has received notable recognition including:

• Apple's Swift Student Challenge Winner (2024)

Dietrich actively advises Master's and Bachelor's theses at TUM, supervising projects on LLM-based educational feedback, code review gamification, and UML integration tools. He coordinates the GenAI Talks series through BayernCollab and teaches iOS development seminars for Winter 2024/25 and Summer 2025. His industry experience includes developing the Finance App MVP for consumer financial health and leading the Hephaestus project for collaborative software engineering environments.