Summary
Po-kang Liu is an algorithm engineer with eight years’ experience applying signal processing, machine learning, and data science to biomedical and wearable IoT products. He holds a B.S. in Electrical Engineering from National Taiwan University and an M.S. in Biomedical Engineering from Duke University, blending strong hardware-aware signal expertise with clinical-focused research. At MediaTek he develops algorithms for low-power wearable applications, building on prior research in EEG mental workload assessment, multimodal emotion recognition, and AF detection from wearable ECG/PPG. His background spans end-to-end projects from EMG/EEG feature engineering and annotation tools to genome-sequencing pipeline profiling, demonstrating comfort across biology, algorithms, and production code. Based in Durham, NC, he combines academic rigor with industry delivery and a knack for finding optimal time-frequency-entropy feature combinations that improve real-world biosignal classification. Actively seeking full-time opportunities, he brings a practical research mindset to product-focused algorithm development.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Biomedical/Medical Engineering, Master of Science - MS, Biomedical/Medical Engineering at Duke University
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at National Taiwan University
Chinese, English