Short Bio
[Last updated on February 22nd, 2023]
I am a postdoctoral researcher in the Distributed Information Systems Laboratory at the Swiss Federal Institute of Technology Lausanne (EPFL) working on Neural Natural Language Processing applied to online polarization and debate analysis.
I am broadly interested in the capabilities of Large Pretrained Language Models to address issues emerging from online discussions. Interactions on social media and news platforms may have serious consequences but I am convinced that artificial intelligence technologies are poised to foster healthier online behaviors.
Prior to joining EPFL, I spent 3 fantastic years as a Ph.D. researcher in the Department of Computer Science, Data and Artificial Intelligence at the Polytechnic Institute of Paris (IP Paris), funded by a Google doctoral fellowship and working on Natural Language Processing with Deep Learning. I was supervised by Prof. Thomas Bonald (Data, Intelligence and Graphs (DIG) team, IP Paris) and Dr. Lucas Dixon (People + AI Research (PAIR) team, Google Brain). My thesis focus was on the analysis and control of online interactions through Neural Natural Language Processing.
You can find out more about my research and outreach activities by exploring the rest of my site and my GitHub repositories.
Experience and Education
Swiss Federal Institute of Technology Lausanne
Postdoctoral researcher
Neural Natural Language Processing applied to online polarization and debate analysis
January 2023 - Current |
Lausanne, Switzerland |
Polytechnic Institute of Paris
Ph.D.
Computer Science — Neural Natural Language Processing
June 2019 - November 2022 |
Palaiseau, France |
University of California
MEng.
Computer Science — Machine Learning and Database Systems
August 2017 - May 2018 |
Berkeley, California |