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Location: Canada

Remote: Only

Willing to relocate: No

Technologies: Various solvers (CPLEX, Gurobi, Or-Tools, etc.), Python, C++, Bash, Linux, and others

Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mas...

Email: See CV

I have a PhD in optimization / operations research. I'm the father of four young children, so I'm looking for flexible/remote part-time work, and/or contract work. I can work up to around 30 hours per week (this varies depending on whether kids get sick, if I have other contracts, etc).

My specializations revolve around optimization and operations research. You can give me a real-world problem and I can translate it into a mathematical model that can be solved (often optimally) via integer programming, constraint programming, or various forms of metaheuristics. I could manage my way around new solvers and programming languages if the project required it.

I'm currently working on a column generation-based daily fantasy sports (DFS) solver as a personal project. Taking as input the predictions/requirements of a user, this solver can generate optimal lineups for multi-entry tourneys. It is, as far as I am aware, the only DFS solver that can generate provably optimal sets of lineups for multi-entry DFS tourneys.




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