cv

PhD in Computer Science

• Member of the Distributed Computing Group supervised by Prof. Dr. Roger Wattenhofer.
• Teaching assistant for multiple courses (tutoring, exam writing and grading, etc.).

Master in Computational Science and Engineering

• Graduated with one of the highest GPA in the program (5.73/6).
• Master's thesis written at MIT on the topic of Decentralized Machine Learning (co-supervised by Prof. Ramesh Raskar and Prof. Martin Jaggi).
• Member of the Junior Enterprise EPFL, a student-run consulting company.
• Member of the EPFL Rocket Team, a student association building rockets for competitions.

Bachelor in Mechanical Engineering

• Graduated with one of the highest GPA in the program (5.66/6).
• Full year exchange at McGill University, Montreal, Canada (most selective exchange).

Technical Project Manager

• Led efforts to drive the adoption of 3D deep learning in real-world engineering (CAD and CAE) applications.
• Managed end-to-end project implementation, resulting in successful deals exceeding $100k CHF.

Research Assistant

• Research on the topic of decentralized and privacy-preserving machine learning.
• My work received the runner-up Best Paper Award at the NeurIPS 2022 workshop on Decentralization and Trustworthy Machine Learning in Web3.

Data Scientist Intern

• Developed a machine learning model to predict the failure of satellite components.

• EPFL Mobility Scholarship for my academic exchange at McGill (2k CHF)

• Hasler Stiftung Scholarship for my visit at MIT (7k CHF)

• Participation in the selective CIFAR DLRL Summer School, funded by SNF and CIFAR (5k CHF)