Summary
Jilung Hsieh is an Associate Professor in Taipei with 11 years of academic experience bridging computer science, data science, and journalism. He specializes in Python, AI, pattern recognition, big data, and image processing, and holds a PhD focused on data mining, game culture, and social/epidemic simulation. His research and teaching portfolio spans information visualization, lifelogging, eye-tracking, usability, and game-based learning, reflecting a practical blend of computational methods and human-centered studies. Known for applying simulation and data-mining techniques to media and public-health questions, he brings an interdisciplinary perspective that connects technical depth with real-world information practices.
11 years of coding experience
7 years of employment as a software developer
PhD, Data mining, Game culture, Social simulation, Epidemic simulation, PhD, Data mining, Game culture, Social simulation, Epidemic simulation at National Chiao Tung University
English, Chinese