Who am I?
Passionate about Artificial Intelligence, I got my MSc in Computer Science and Engineering from the National Chiao Tung University (Taiwan) in 2013. My Master thesis dealt with the issue of applying various Monte-Carlo based algorithm to an imperfect information variant of the Go Game. I then got an Engineer degree from Telecom SudParis in 2014. I finally got my PhD in Computer Science from Sorbonne Université in the domain of Multi-Agent Systems applied to Economy.
During my PhD, my main research focused on Game Theory, more precisely mechanism design applied to negotiation and bargaining and heuristics applied to games. In this domain, I have worked on Monte Carlo algorithms applied to imperfect information games and negotiation. My research also focused on application of machine learning to economy, to predict the financial value of a fund on the one hand, and to predict future proposals of an partner in a negotiation in the other hand. I took part of the development of an autonomous invoice marketplace in a FUI project.
I joined Thales in 2017 as a Research Engineer in the domain of decision making. Since then, I have been working on projects both withing Thales and in collaborative settings involving multi-criteria analysis, statistics and Multi-Agent Systems applied to Distributed Decision Making. I also teach multi-agent programming at ENSTA in M2, and I am a contributor to the Actu IA website.