Recent News:

• November 2025: I successfully defended my Ph.D. Thesis titled "Communication-Efficient Distributed Learning with Provable Robustness and Privacy Guarantees" at the Technical University of Munich (summa cum laude).

• October 2025: Three of our papers were presented at the Information Theory Workshop (ITW) in Sydney, Australia.

• September 2025: Our paper Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation was accepted for presentation at NeurIPS 2025 in San Diego, United States.

• July 2025: Our paper Byzantine-Resilient Zero-Order Optimization for Scalable Federated Fine-Tuning of Large Language Models was presented at the ICML Workshop on Efficient Systems for Foundation Models 2025 in Vancouver, Canada.

• May 2025: Our paper Federated One-Shot Learning With Data Privacy and Objective-Hiding was published in Transactions on Information Forensics and Security (TIFS).

Short Biography:

• November 2024: Research Stay with Prof. Rüdiger Urbanke at École Polytechnique Fédérale de Lausanne, Switzerland.

• February  - May 2023: Three-Months Research Stay with Prof. Dr. Deniz Gündüz at Imperial College London, Great Britain.

• Since January 2022: Doctoral Researcher at the Institute for Communications Engineering under supervision of Prof. Dr.-Ing. Antonia Wachter-Zeh

• February 2022: Master of Science degree in Electrical Engineering and Information Technology from the Technical University of Munich with high distinction (final grade: 1.0)

• February 2020: Bachelor of Engineering degree in Electrical Engineering from University of Applied Sciences with high distinction (final grade: 1.0)

• January 2019: Successfully completed professional education as electronics technician for industrial systems with 99 of 100 reachable points

• September 2015 - February 2020: Dual Studies (bachelors combined with apprenticeship and multiple temporary engineering positions) at Hilti AG, Kaufering, Germany

Research Interests:

• Distributed Machine Learning

• Efficiency in distributed matrix multiplication and (stochastic) gradient descent

• Privacy preserving coded distributed computing and federated learning

• Security in decentralized learning

• Channel capacity estimation and optimization

Awards:

• March 2023: DAAD Scholarship for Research Stay at Imperial College London.

• November 2020: VDE Award Bavaria 2020.

• September 2019: Best vocational qualification 2019 - Chamber of Industry and Commerce (IHK) of Munich and Upper Bavaria.

• March 2019 - December 2021: Scholarship recipient of the "Studienstiftung des deutschen Volkes" (German Academic Scholarship Foundation).

• November 2018: Participant at the gP Primus promotion program of the University of Applied Sciences in Augsburg.