I am currently a post-doctoral fellow within the Data Science for Real-Time Decision Making CERC (Canada Excellence Research Chair) at Polytechnique Montréal. I am interested in improving operational research methods using deep learning, and working with Profs. Andrea Lodi and Laurent Charlin.
- Machine learning for combinatorial optimization: can ML help solve CO problems ? (and vice versa).
- Probabilistic Graphical Models: theoretical properties of conditional independence models (directed, undirected, bi-directed, chain, mixed graphs), structure learning algorithms.
- Structured prediction: complex loss functions (0/1 error, F1 error) minimization, learning of decomposable representations.
- Causal inference.