Summary
Yijun Bian is a Marie Skłodowska-Curie postdoctoral fellow at the University of Copenhagen with nine years of research and engineering experience in machine learning, ensemble methods, fairness in ML, and AutoML. He holds a Ph.D. from the University of Science and Technology of China and maintains an active online presence through a GitHub portfolio and a Google Scholar profile that highlight his academic contributions. Yijun blends rigorous academic research with practical reproducible tooling, focusing on robust, fair model ensembles and automated modeling pipelines. Based in Copenhagen, he bridges European research environments and open-source development, often sharing prototypes and experiments on his personal homepage. Colleagues describe him as methodical and curious, with a knack for turning theoretical insights into usable code. His background suggests a thoughtful balance of deep theory and hands-on implementation that advances trustworthy ML practices.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Science and Technology of China
Bachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at Northwest A&F University
Chinese, English