Research domains

My research domain is the study of complex systems. My approach consists in exploiting statistical properties, multiscale analysis, non-linear modelisation, the physical properties of the signals, in order to propose new ways to deal with multi-disciplinary problems. More generally, I seek to extract most information out of experimental data, how that information can be used to build better models and produce better predictions.

Some of my recent work include this modeling technique. It consists in identifing causally equivalent classes of system states, then model their evolution with a stochastic process. This extends previous work and earlier results to the general case of (nearly-)arbitrary data. Applications primarily concern natural sciences.

I have previously worked on remote sensing of the environment and on granular matter physics. That work consisted of the analysis of experimental signals, modeling, designing new algorithms and running numerical simulations.

Details on my main findings are given through the menu on the left. A not-up-to-date-and-partial list of my publications is available on this page. More are listed on the HAL archive system.

Affiliation

I am a permanent researcher at the Inria institute.

Software

The code for the algorithms and experiments detailed in my publications is available as free/libre software. See the software section of this site as well as my source code repository.