Summary
Pascal Archambault is a PhD candidate in Computer Science at Université de Montréal with a strong foundation in software development, web engineering, and data management built over eight years across industry and research roles. He has practical experience in banking analytics and treasury, consulting, and full-stack development, and contributed to browser modernization during a Concordia research internship. Now focused on machine learning and AI, Pascal combines hands-on Python/C++ coding with academic modeling—interested broadly in systems that grow and require extensive modeling. He documents his learning and projects through a personal website and active GitHub presence, signaling a commitment to reproducible work and continuous improvement. Unusually for someone at his stage, he blends risk-management experience from finance with deep technical practice, positioning him well for applied ML in robotics or data science. Based in Montreal, he is pursuing an MS in AI and progressing toward a PhD with a clear trajectory toward research-driven engineering.
8 years of coding experience
1 year of employment as a software developer
Cégep de Granby
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Université de Montréal
Bachelor of Science - BS, Computer Science, Undergrad, Bachelor of Science - BS, Computer Science, Undergrad at Concordia University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universite de Montreal
French, English