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Machine Learning PhD Student

Université de Technologie de Compiègne (UTC)
Research lab: Heudiasyc UMR CNRS 7253

CS 60319 - 57 avenue de Landshut

Office: GI104
Phone: 42 02

Short bio

After getting an engineering degree in computer science, Major Business Intelligence from ENSIAS, I put into practice my theoretical knowledge as a BI consultant for a year and a half on a European decision-making system in the field of energy to integrate thousands of data in a short time on a daily basis.

My work in BI and Data sparked my interest in Data Mining and Machine Learning methods, which pushed me to follow the Research Master’s Degree in Intelligent Systems, with a Major in Machine Learning and Data Mining at Paris-Dauphine University to reinforce my knowledge of Machine Learning, Deep Learning, and Big Data.

I am currently a Machine Learning Ph.D. candidate at Heudiasyc, Université de Technologie de Compiègne (UTC). I am supervised by Sébastien Destercke and Sylvain Rousseau. My Ph.D. is mainly focused on conformal prediction methods for complex data and problems, such as multi-target regression, with an application to real estate management.

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