- PhD in Robotics, Control, and Intelligent Systems , École Polytechnique Fédérale de Lausanne, Switzerland (2025 – (anticipated) 2029)

- M.Sc. in Engineering Cybernetics, University of Stuttgart, Germany (2019 – 2023)

- Erasmus Exchange Program, University of Padua, Italy (Feb 2022 – Aug 2022)

- M.S. in Engineering Science and Mechanics, Georgia Institute of Technology, USA (2020 – 2022)

- B.Sc. in Mechanical Engineering, University of Duisburg-Essen, Germany (2015 – 2019)

- Software Engineer II, Yamaha Motor Corporation, USA (June 2023 – July 2025)

- Control Engineer, Yamaha Motor Corporation, USA (Mar 2023 – June 2023)

My research investigates transfer learning in robotics, focusing on enabling robots to leverage prior knowledge when adapting to new tasks, environments, or embodiments. Through a systematic literature review of recent robotics publications, I am developing a comprehensive taxonomy of transfer learning approaches and identifying promising research directions. My work aims to bridge the gap between high-level task representations and low-level robot control, with particular interest in dual-mode learning scenarios. This research contributes to LASA's broader goal of developing generalizable robot learning systems that can efficiently acquire new skills without extensive retraining.