Eunho Noh is an Associate Principal Bioinformatics Scientist with nine years of experience translating advanced signal-processing and machine learning research into production bioinformatics solutions at Illumina. Trained as an Electrical Engineering Ph.D. with interdisciplinary work in cognitive science, Eunho specializes in feature extraction, high-dimensional sensor data modeling, and classifiers applied to EEG and genomics workflows. They progressed through technical leadership roles at Illumina from hands-on scientist to senior and principal positions, demonstrating an ability to ship robust analytical methods in a regulated, collaborative environment. Eunho’s background in communication theory and digital signal processing underpins a pragmatic approach to noisy biological data, while prior academic work predicting memory from EEG highlights a knack for extracting subtle signals from complex measurements.
9 years of coding experience
11 years of employment as a software developer
University of California San Diego
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at Yonsei University
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