About me

My research field is centered on pattern mining and supervised machine learning. I have mainly worked on the usage of standard machine learning (decision trees, SVM, etc.) for mining discriminant temporal patterns. Pattern mining allows to mine patterns that are interpretable for the final user and then directly usable as new knowledge. In pattern mining framework, machine learning allow to represent the numerical dimension of data, for example the temporal dimension, more expressive. My research contributes to propose new temporal patterns, expressive and interpretable.

I am actually postdoctoral fellow at KULeuven in the DTAI team.

Invitations and mentoring