Jangwon Park
Doctoral Student at University of Toronto
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolJangwon Park is a PhD candidate in Operations Research at the University of Toronto with eight years of applied analytics and optimization experience across academia and industry. His research focuses on data-driven decision models for interfacility patient transfers, blending rigorous theory with practical implementation under joint supervision of Professors Timothy Chan and Vahid Sarhangian. He has a strong track record building optimization tools and automation—developing a hybrid rostering algorithm with a MATLAB GUI at Swissgrid and streamlining financial reporting with SQL and Sisense at Celestica. Jangwon’s background bridges engineering science (BASc), technology management (MSc), and doctoral-level operations research, enabling him to translate complex datasets into actionable operational policies. Colleagues describe him as someone who pairs mathematical depth with pragmatic software and tooling skills to deliver measurable efficiency gains.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Management of Technology, Master of Science - MS, Management of Technology at Ecole polytechnique fédérale de LausanneDoctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at University of Toronto
English, Korean
Github Skills (1)
capstone7
Programming languages (1)
Github contributions (5)
parkjan4/OptSim
Mar 2019 - May 2019
Contributions:70 pushes, 1 branch in 2 months
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