Yu-tang Chang
Research Assistant at National Taiwan University
Taiwan
Summary
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Top SchoolYu-tang Chang is a research-oriented machine learning engineer with eight years’ experience designing bottom-up systems that convert noisy sensory, chemical, and language data into dependable, interpretable behavior. At National Taiwan University he led six research programs—from GC-MS olfactory interpretation and hyperspectral clustering to IR-BERT and a coffee blend recommender—while building full-stack research infrastructure, PyTorch pipelines, and protocol-driven evaluation workflows. His work emphasizes verifiable, human-in-the-loop deployments that probe model internals, run targeted evaluations, and maintain stability under distributional drift. Trained in Biomechatronics Engineering, he blends mathematical formalism of multimodal signals with practical systems engineering to bridge research and production. An active researcher and code publisher (see his public projects on GitHub), he excels at turning ambiguous scientific questions into analyzable ML tasks and reproducible experiments.
7 years of coding experience
Bachelor of Engineering - BE, Department of Biomechatronics Engineering, Bachelor of Engineering - BE, Department of Biomechatronics Engineering at 國立臺灣大學
Github Skills (3)
computational-neuroscience5
python4
neuroscience4
Programming languages (1)
Github contributions (5)
b05611038/MLDS_2019SPRING
Mar 2019 - Jul 2019
Contributions:148 commits, 4 pushes in 4 months
b05611038/CCN_2019FALL
Oct 2019 - Jan 2020
Code of NTU course: computational cognitive neuroscience
Contributions:44 commits, 40 pushes, 1 branch in 2 months
neurosciencepythoncognitive-neurosciencecomputational-neurosciencecognitive
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