Summary
Hui-ling Chan is an Assistant Professor and biomedical signal engineer with 11 years of experience applying machine learning to brain and physiological data for diagnosis, prevention, and modulation of psychiatric conditions. Trained with a PhD in computer science and a strong life-sciences background, she has developed algorithms for source imaging, cross-frequency coupling, and biomarker discovery across academic and industry settings including National Cheng Kung University, Hiroshima University, and ITRI. Proficient in Python, C, and MATLAB, she bridges experimental design, signal processing, and production-ready ML models for biosensor and healthcare applications. Her work spans brain-computer interfaces, depression prevention AI, and Kansei visualization, reflecting a rare blend of theoretical neuroimaging expertise and practical product-focused engineering. Colleagues note her persistent curiosity about decoding human behavior and translating neural insights into interventions to prevent psychological disease.
11 years of coding experience
18 years of employment as a software developer
Master and PhD, Computer science and engineering, Credits: 61, GPA: 4, Master and PhD, Computer science and engineering, Credits: 61, GPA: 4 at National Chiao Tung University
Bechelor of Science, Life Science, Credits:188, GPA: 3.89, Bechelor of Science, Life Science, Credits:188, GPA: 3.89 at National Taiwan Normal University
Chinese, English