ATER in the team Knowledge, Uncertainty, Data (CID) of the laboratory Heudiasyc since the 1st november 2023, Université de Technologie de Compiègne (UTC).

Office : GI207

Email : loic.adam[at]hds.utc.fr

I spent my thesis at the Heudiasyc laboratory under the supervision of Sébastien Destercke with funding from the ANR project PreServe. My topic, Preference learning under severe uncertainty, focuses on Multiple-criteria decision-making to determine an alternative to recommend to a user in uncertain contexts, mainly where the questioned user is unsure of her answers or the preference model is poorly chosen.

I graduated from the UTC in 2020. I hold a Engineer's degree in computer science and a master degree in machine learning and optimisation. I focused on Data Science, while also learning mathematical tools (Mathematical modeling label) and some basis on cognitive science (minor PHITECO).

For my master thesis I worked at the laboratory Heudiasyc under the supervision of Sébastien Destercke, Benjamin Quost and Arthur Van Camp. I worked on label ranking under severe uncertainty.

CV (in French)