About Me

I am a passionate Ph.D. candidate at the Technical University of Munich. My academic journey began with a Bachelor's degree in Computer Science from FAU Erlangen-Nürnberg, followed by a Master's in Computational Linguistics from LMU Munich. My research interests lie at the intersection of machine learning, natural language processing, and multimodal AI, with a strong focus on fostering effective and ethical interactions between humans and intelligent systems.  

Before starting my Ph.D., I gained over five years of experience as a software developer at e.solutions GmbH, working on real-world applications in industry. During my Master's, I further honed my expertise as a research assistant, designing and teaching programming tutorials while supporting exam development. Now, in my Ph.D., I am excited to explore novel approaches to human-centered AI, combining insights from computational linguistics, federated learning, and privacy-enhancing technologies to create more inclusive and intelligent learning systems.

Career Development

• 2019 – 2022: B. Sc. in Computer Science, FAU Erlangen, Germany
• 2022 – 2024: M. Sc. in Computational Linguistics, LMU Munich, Germany
• 2025 – Present: Doctoral candidate, TU Munich, Germany

Research Interest

• Machine Learning / Deep Learning
• Natural Language Processing
• Federated Learning
• Privacy Preserving Machine Learning

Publications

• Ivo De Souza Bueno Júnior, Haotian Ye, Axel Wisiorek, and Hinrich Schuetze. 2025. Privacy-Preserving Federated Learning for Hate Speech Detection. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop), pages 129–141, Albuquerque, USA. Association for Computational Linguistics.