Summary
Jie-Han Chen is a research scientist with 11 years of experience focused on machine learning, data mining, and mathematical modeling, currently developing sparsity algorithms and LLM evaluation pipelines at Skymizer. He holds a top‑ranked Master's in Computer Science from National Cheng Kung University and has strengthened his statistical ML foundation with multiple National Taiwan University–accredited Coursera certifications. Jie‑Han’s academic work explores Neural Grafting Networks and adaptive prior selection for agents in sparse‑reward, multi‑task settings—bridging theoretical innovation with MLOps and production modeling. Known for combining rigorous math with practical engineering, he spent prior roles overseeing ML modeling and software development while dedicating significant time to advancing mathematical skills. Based in New Taipei, he approaches hard problems with a growth mindset, seeking research that benefits people and the planet.
11 years of coding experience
Bachelor's degree, Computer Science and Information Engineering, GPA: 3.4/4.3, Bachelor's degree, Computer Science and Information Engineering, GPA: 3.4/4.3 at National Cheng Kung University
Master's degree, Computer Science and Information Engineering, GPA: 4.3/4.3, Master's degree, Computer Science and Information Engineering, GPA: 4.3/4.3 at 國立成功大學