About me

I am currently a research engineer in the PARIETAL team at INRIA Saclay working on developping and maintaining neuro-science and machine learning softwares. The PARIETAL team is indeed heavily invested in community-driven open source projects such as Scikit-learn, NiLearn, MNE-Python, or Joblib to name a few.

I have a strong interest in open source projects, you can find more details on my contributions through my GitHub profile, or in the Open source section of this website.

Research interests

My reasearch interests are linked to the study of cyber-physical systems thanks to complex-system based approaches. These systems are very diverse and range from crypto-currencies to social networks, smart grids, or IoT systems. Although diverse, these environments are composed of entities linked with various kinds of relationships. As a consequence of these relationships, we can observe interactions over time (transactions, calls, network packets exchanges…). One of my main objective is to develop methods and frameworks to study and understand how these relationships co-evolve with these interactions within such complicated systems.

Prior positions

Before joining INRIA, I was a postdoctoral reasearcher in the Complex Networks team, at the computer science laboratory of Paris 6 (LIP6) from December 2018 to October 2020. My work at LIP6 was focused on designing methods for the automatic detection of anomalies in large sequences of interactions using the framework of stream graphs. The main applications of this work are related to fraud detection in financial transactions such as credit card or blockchain based transaction records.

Before working at LIP6, I was a postdoctoral researcher in the Power Systems Design and Studies group at the National Renewable Energy Laboratory (NREL) in Golden, Colorado, USA from March 2017 to November 2018. The purpose of this group is to study how power distribution systems can sustain the increasing penetration of renewable energy resources. Distribution systems have complex non linear dynamics and ensuring their stability with increasing penetration of renewables is a challenge. Within this group, I was mainly working on creating and implementing optimization methods to solve large scale problems such as distribution planning or hosting capacity analysis.

PhD thesis and resume

I obtained my PhD in October 2016, at Telecom SudParis, Saclay, France. My PhD work was focused on modeling and optimizing smart power grid systems. For more details, you can find my PhD thesis here.

You can find more details in my CV.