Tzu-heng Huang is a PhD computer science candidate and graduate research assistant at UW–Madison with eight years of research and engineering experience focused on data-centric AI for multimodal and foundation models, efficient training, and weak supervision. He has interned on cutting-edge ML teams at Apple and Meta (GenAI Llama Speech), bringing applied research on video and speech models to production-adjacent settings. His background spans academic research roles in Taiwan and national labs, combining time-series/IoT pattern work with modern multimodal model development. Based in Madison, he blends rigorous PhD-level methodology with practical engineering instincts, often translating research insights into scalable training or supervision strategies. An approachable collaborator, he publishes and teaches while exploring how data-centric practices improve model robustness beyond just bigger models.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Wisconsin-Madison
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at National Chengchi University
Contributions:124 pushes, 1 branch in 2 years 6 months
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