Summary
Fu-chang Sun is a data-focused engineering leader and former physicist with 11 years of experience bridging academic research and applied analytics as Digital Finance Division Manager at E. Sun Bank. He leverages a Ph.D. in Physics and a Machine Learning Engineer nanodegree to translate complex statistical models and machine learning insights into actionable business recommendations across financial services. Previously he built sustainable data pipelines, GLM credit models, and reproducible research code at institutions including Travelers and the University of Connecticut, where he published six peer-reviewed papers on ferroelectric materials. Comfortable both with scientific modeling at multiple scales and production analytics, he emphasizes domain knowledge to avoid treating ML as a black box. Colleagues can expect a quantified, evidence-driven storyteller who brings rigorous experimental thinking to real-world fintech problems.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics and Physics, Bachelor's degree, Mathematics and Physics at National Cheng Kung University
Nanodegree Program, Machine Learning Engineer, Nanodegree Program, Machine Learning Engineer at Udacity
Master's degree, Condensed Matter and Materials Physics, Master's degree, Condensed Matter and Materials Physics at University at Buffalo
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at The University of Connecticut
English, Chinese