Marvin Muñoz Barón, M. Sc.

Research Topic

• AI-Assisted Software Engineering – My PhD topic lies in the intersection between artificial intelligence (AI), software engineering (SE) and human aspects research. Specifically, I'm exploring how we can foster a trusting collaboration between software engineers and AI tools, with a primary focus on generative AI models such as GPT (Generative Pre-trained Transformer). This includes the interaction and collaboration with, and the impact of AI on the software engineering process. Ultimately, I hope to uncover frameworks to improve the interaction and the design of AI tools in a long-term, sustainable way, beyond the short-term hype.
• Human-centered AI — In the broader context of AI, I am generally interested in how AI influences humans and, conversely, how humans influence AI. Human factors play a significant role in the design, implementation, and adoption of AI-based software and should therefore be at the heart of discussions about AI.
• I am also involved in designing courses for teaching artificial intelligence in German vocational training through the KI B³ project.

Teaching

Lectures, Exercises, and Seminars

• 2024 Winter: Seminar: Artificial Intelligence for Software Engineering
• 2024 Summer: Tutorial: Advanced Software Testing and Analysis
• 2024 Summer: Seminar: Software Engineering for AI-based Systems

CV

• 2024 - Now: Research Assistant and Doctoral Candidate at the Chair of Software Engineering at Technical University of Munich Campus Heilbronn.
• 2022 - Now: Research Assistant and Doctoral Candidate at the Empirical Software Engineering Group at the University of Stuttgart.
• 2022 (6 months): Software developer (working student) at Robert Bosch GmbH in the Cross-Domain Computing Solutions division.
• 2019 - 2022: M.Sc. in Software Engineering (Softwaretechnik) at the University of Stuttgart.
• 2015 - 2019: B.Sc. in Software Engineering (Softwaretechnik) at the University of Stuttgart.