I have been working as a research scientist and cryptography software engineer for the past five years. My work consists in researching, designing, implementing and integrating privacy preserving machine learning and statistical analytics in large scale B2B applications. The designed solutions are built on top of applied cryptography combined with other privacy enhancing technologies, such as lattice based fully homomorphic encryption, multiparty computation, federated learning and differential privacy.
Two graded semesters at EPFL on privacy enhancing technologies, number theory and applied cryptography, 2019
École Polytechnique Fédérale de Lausanne (EPFL)
Master in Law (MLAW) in Legal Issues, Crime and Security of Information Technologies, 2019
Université de Lausanne (UNIL)
Bachelor in Law (BLAW), 2016
Université de Lausanne (UNIL)
Responsibilities include:
The iDASH Privacy and Security Workshop is an interdisciplinary competition motivated by real world biomedical applications.
I have been a teaching assistant for the following courses:
I have served as a Program Commitee, reviewer or sub-reviewer for the following conferences and journals: