Photo of Leo Laugier.
Academic email: Please interact with the web page to show my email adress.

Leo Laugier

[Last updated in 2025; please visit my LinkedIn profile for the most up-to-date information.]

I am a postdoctoral researcher in the Distributed Information Systems Laboratory at the Swiss Federal Institute of Technology Lausanne (EPFL).

Prior to joining EPFL, I spent 3 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 deep learning models for natural language processing. I was supervised by Prof. Thomas Bonald (Télécom Paris) and Dr. Lucas Dixon (Google). My thesis focus was on the analysis and control of online interactions through Neural Natural Language Processing.

I hold an engineering degree in Electrical Engineering and Computer Science from CentraleSupelec and a M.Eng. in Data Science & Systems from the University of California, Berkeley. Before my PhD, I worked as a research engineer at A*STAR Institute for Infocomm Research (I²R).

Interests

I research the capabilities of Large Language Models to address societal challenges arising from online conversations. My work spans toxicity mitigation, social media simulations with LLM agents, and argument mining from large- scale platforms such as Reddit. My PhD established a strong foundation in NLP through self-supervised text-to-text transformers for natural language generation, and my postdoctoral research focused on prototyping novel AI proof-of- concepts within an interdisciplinary team. More generally, I am passionate about applications of machine learning and I am always curious in learning new topics in computer science and engineering.

Publications  

Former Master Students