About me


​In 2019, I had the oportunity to visit the Center for Nonlinear Studies (CNLS) at the Los Alamos National Laboratory (LANL). There, my work with Andrey Lokhov and Marc Vuffray was directed towards the localization of disturbances in complex networks.

In 2020, I have been granted a Postdoc.Mobility grant from the Swiss National Science Foundation. This funding will allow me to work for two years in the group of Prof. Francesco Bullo at the University of California, Santa Barbara.

Aside of my research, I took advantage of my years in Sion to practice a wide variety of outdoor activities in the Alps, such as skiing, mountaineering, climbing, and paragliding.

A more formal CV including a list of publications can be found here.

Recent occupations at a glance:

Since Oct. 2020:              Postdoc at UCSB with Prof. F. Bullo.
Jun. 2018 - Jul. 2020:      Postdoc between HES-SO and ETHZ with Profs. P. Jacquod and F. Dörfler.

Jul. - Aug. 2019:              Visiting postdoc at LANL with A. Lokhov and M. Vuffray.

Dec. 2014 - May 2018:    PhD at HES-SO with Prof. P. Jacquod.

After obtaining my Master's degree in Mathematics at the University of Geneva, I started a Ph.D. at the University of Applied Sciences of Western Switzerland (HES-SO) in Sion (CH), under supervision of Prof. Philippe Jacquod. Our interest in the stability of power grids lead us to investigate the phenomenon of synchronization of networked agents, and in particular the conditions for the existence of multiple synchronous states in such a system.

After graduating in May 2018, I stayed in Sion as a postdoc, with frequent interactions with Prof. Florian Dörfler at ETH Zurich. Most of my work since then aims at a better understanding of the interplay between network structure and dynamics in systems of coupled dynamical agents.

My research

Working on the stability of electrical networks with a mathematical background naturally lead me to investigate relation between dynamical systems and complex networks.


On one hand, it is clear that the network structure underlying a dynamical system influences its dynamics. Determining the impact of some network structures on the dynamics of a system is still an ongoing field of research.


On the other hand, if the underlying network is unknown, observation of the system can give enough information to recover some characteristics of the network. Such an approach aims at learning the underlying system from measurements data.

Currently, my research interests cover the two faces of this coin. In particular, with P. Jacquod, T. Coletta, and M. Tyloo, we showed how the number and size of cycles in a network of dynamical agents influence the number of equilibria of the whole system. More recently, with P. Jacquod, L. Pagnier, and M. Tyloo, we proposed some novel methods to leverage the information included in measurements in order to recover the underlying network structure or the source of a disturbance in a dynamical system.



A pdf version of my list of publication is available in my CV. All manuscripts are available on the arXiv.


Peer-reviewed articles

Presentations and posters
All conference material is under CC-BY license.

Ph.D. Thesis


CCS 2021 - Satellite Symposium


In October 2021, I co-organized the Satellite Symposium Data-based Diagnosis of Networked Dynamical Systems at the Conference on Complex Systems 2021 in Lyon, with L. Pagnier and M. Tyloo. More information can be found here.

We had a great panel of speakers both on-site and online. It was really nice to attend live talks again.


GeoCoW 2020

From February 2nd to 5th, 2020, I co-organized the workshop Geometry of Complex Webs (GeoCoW) with Matthieu Jacquement (HES-SO and UniFR) and Christian Mazza (UniFR). It took place in the nice alpine village of Les Diablerets, Switzerland.

We gathered speakers and attendees from broad backgrounds, ranging from pure mathematicians to engineers, including physicists, life scientists, and computer scientists. The aim of this workshop was to allow people from different fields to interact around the interdisciplinary topic of complex networks and (maybe) see opportunities for new and rich collaborations.

All details about the event can be found here.