CV
You can find my CV in pdf format here.
Education
- M.Sc. (2nd year) in Mathematics, Paris-Saclay University, 2021 (expected).
- M.Sc. (1st year) in Computer Science (first year), UBC, 2020.
- Supervisor: Mark Schmidt.
- B.Sc. in Mathematics and Computer Science, McGill University, 2018.
- Supervisor: Tim Hoheisel.
Work experience
- Summer 2020: Research Assistant
- UBC
- Project: Hyperparameter-free variance reduction (to be published).
- Supervisor: Sharan Vaswani.
- Winter 2019: Data Science Intern
- Giro Inc., Montreal, Canada.
- Retrieved, cleaned up and formatted data in order to better optimize bus schedules.
- Built a pipeline to easily implement, train and compare different machine learning algorithms on specific classification tasks.
- Summer 2018: Research Assistant
- McGill University
- Project: Newton’s method for the Fermat-Weber problem under “weighted” euclidean norms.
- Supervisor: Tim Hoheisel.
Research
Talks
Towards understanding the role of over-parametrization in generalization of neural networks.
Talk at UBC machine learning seminar, University of British Columbia
Learning representations for counterfactual inference
Talk at UBC machine learning seminar, University of British Columbia
Introduction to optimal control theory.
Talk at UBC machine learning seminar, University of British Columbia
Teaching
Awards
- International Tuition Award, UBC.
- Science Undergraduate Research Award (SURA), McGill.
- Dean’s Honour list, McGill.
Extra-Curricular
I am a huge basketball fan. I have been playing competitively since I was 8 years old.
I currenly play point guard for Basket Paris 14!