Since 2018, I am a postdoctoral fellow at Polytechnique Montréal in CIRRELT under the supervision of Prof. Louis-Martin Rousseau. I am also a research intern at
ElementAI. My current research aims to integrate machine learning techniques into the field of discrete optimization. This research is funded by postoctoral grants awarded by Ivado and Mitacs. Besides, I also collaborate with Prof. David Bergman (UConn).
I obtained my Ph.D. from UCLouvain in 2017 under the supervision of Prof. Pierre Schaus. I worked as a research assistant at ICTEAM until 2018. I also graduated from UCLouvain in 2014 with a Master's degree in computer engineering and in 2018 with a second Master's degree in management.
My research interests are quite broad. Instead of focusing on a particular method or paradigm, I am more interested in problem solving. I enjoy using all my knowledge to solve real and concrete challenges. I have particular affinities for problems related to operational research, optimisation, data science and machine learning.
In few words, I have already worked on the following topics:
Hybridization of machine learning with operational research.
Optimization of transports in the healthcare domain.
Verification of railway interlocking systems.
Fluidity optimisation of the railway traffic.
Mining frequent patterns in long sequences.
Implementation of new constraints related to data mining in OscaR.