I am a MSc student, in Computer Science,
at ENS Rennes and
University of Rennes 1.
I am currently abroad this year to perform research internships. From September
to December, I worked at La Sapienza Università di Roma
about privacy-preserving information sharing. I am currently in Montreal at McGill
University, working about the integration of analytical tool such as Python Numpy with a relational database
Prior to that, I made a two-months internship at IRISA
working on privacy in collaborative filtering recommenders, and a three-months internship
at EPFL working on atomic commit protocols.
As many day-to-day applications now struggle with
huge amounts of data, the search of efficient and scalable protocols has become
a fondamental challenge. I am interested by the design, the implementation and the experimental evaluation
of such algorithms. I like also to focus on the privacy threats thay may arise when dealing with distributed and large scale systems.
J. Vinish D’silva, F. De Moor, and B. Kemme. AIDA - Abstraction for Advanced In-Database Analytics.
A. Boutet, F. De Moor, D. Frey, R. Guerraoui, A.-M. Kermarrec, and A. Rault. Collaborative filtering
under a sybil attack: Similarity metrics do matter! In
2018 48th Annual IEEE/IFIP International
Conference on Dependable Systems and Networks (DSN)
. IEEE, 2018.