Ph.D. in Computer Science
I am currently investigating how simple local interactions between the agents of a network can be exploited to design randomized distributed algorithms for global tasks such as consensus or graph clustering. I am interested in the analysis of stochastic processes on networks and in the design and implementation of scalable and efficient algorithms for large datasets.
Our paper "Dynamic algorithms for k-center on graphs" has been accepted to SODA 2024.
Our paper "On a Voter Model with Context-Dependent Opinion Adoption" has been accepted to IJCAI 2023.
Our paper "Phase Transition of the k-Majority Dynamics in Biased Communication Models" has been accepted for publication in Distributed Computing (2023).