Summary
Gyunam Park is an Assistant Professor and researcher specializing in Process Mining and Data Science, with eight years of experience bridging academic research and industry impact. He leads groups at Fraunhofer FIT and the Process Analytics Cluster at Eindhoven University of Technology, and previously drove applied research and teaching at RWTH Aachen and POSTECH. His work spans action-oriented and object-centric process mining—he co-founded the ocpa Python library, which has seen broad adoption—and he has led large interdisciplinary projects, including a €3.9M AIStudyBuddy initiative reaching 100,000 students. Gyunam has partnered with industry (e.g., Samsung) to develop AI-driven equipment and process-selection algorithms that improved operational outcomes in manufacturing and logistics. Known for turning complex data challenges into practical, auditable solutions, he combines rigorous doctoral training with hands-on software development and measurable teaching improvements. Based in Eindhoven, he maintains an active research profile with publications and a personal site that showcase both technical depth and real-world problem solving.
8 years of coding experience
7 years of employment as a software developer
Master of Science, Industrial and Management Engineering, Master of Science, Industrial and Management Engineering at Pohang University of Science and Technology
Dr. rer. nat., Computer Science, Dr. rer. nat., Computer Science at RWTH Aachen University
Bachelor's degree, Technology Management & Computer Science, Bachelor's degree, Technology Management & Computer Science at Ulsan National Institute of Science and Technology