Maxime J.
About Maxime J.
Maxime J. is a Senior Research Scientist specializing in Optimization at Optilogic Inc., where he has worked since 2024. He has a diverse background in data science and optimization, with previous roles at IVADO and LLamasoft, and holds multiple degrees from HEC Montréal.
Work at Optilogic
Maxime J. currently serves as a Senior Research Scientist (Optimization) at Optilogic Inc., a position he has held since 2024. In this role, he contributes to the Applied Research team, focusing on network optimization solutions utilizing Mixed-Integer Linear Programming (MILP). His responsibilities include engaging in consulting and pre-sales activities, as well as advancing transport optimization solutions, particularly in Vehicle Routing Problems (VRP). Maxime utilizes tools such as Alteryx and Gurobi for daily optimization tasks.
Previous Experience in Research and Data Analysis
Prior to his current role, Maxime worked at IVADO as a Graduate Research Scientist, specializing in Statistical Extremes, Flood Risk, and Climate Models for seven months in 2021. He also held multiple positions at LLamasoft, Inc., where he focused on improving supply chain design as a Data Analyst, Modeler, and Consultant from 2015 to 2018. He later transitioned to pre-sales roles, where he advanced optimization, simulation, and routing optimization solutions until 2020.
Education and Expertise
Maxime J. holds a Master of Science in Data Science from HEC Montréal, which he completed in 2021. He also earned a European Certification in Business Administration with a focus on Quantitative Methods & Supply Chain from HEC Montréal between 2011 and 2015. Additionally, he participated in an Advanced Seminar on Self-Supervised Learning at Université de Montréal in 2021. His technical expertise includes building production-level code for network design applications and applying operations research and machine learning techniques.
International Collaboration and Global Experience
Maxime thrives in a global environment and actively engages in international projects and collaborations. His diverse background and multilingual capabilities enable him to work effectively across different cultural contexts. This international experience enhances his contributions to optimization and research initiatives at Optilogic.