Charles Truong

I obtained my PhD in 2018 in applied mathematics. After a quick round-trip to the start-up nation, I became a post-doctoral researcher at the Centre Borelli (ENS Paris-Saclay) between 2020 and 2025, working on machine learning for time series analysis.

I am now an assistant professor at the American University of Paris in the Computer Science and Mathematics department.

I am also a research fellow at LaMME at the University of Evry.

I focus a large part of my research activity on the problem of detecting events in multivariate signals.

In addition to studying the theoretical aspects of those methods, I put much effort into proposing documented and efficient implementations (mostly in Python and C/C++). From an application standpoint, I mainly focus on medical data and, more recently, industrial data.

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