Summary
Xu Min is an algorithm expert with 11 years of experience applying machine learning to healthcare, currently driving AI initiatives at Ant Group after a research scientist role at IBM Research China. He specializes in representation learning for EHRs, time-series clinical data, and medical imaging, blending deep learning and statistical models to translate complex clinical signals into actionable insights. Trained at Tsinghua (PhD) with a health informatics stint at Cornell, he bridges rigorous academic research and applied industrial solutions. His early work includes deep-learning-based vehicle detection, demonstrating a practical knack for adapting state-of-the-art models to domain datasets. Based in Haidian, Beijing, he brings a research-first mindset to product-scale problems, often focusing on robust, interpretable representations rather than black-box performance alone.
11 years of coding experience
2 years of employment as a software developer
Visting Scholar, Health Informatics, Visting Scholar, Health Informatics at Cornell University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tsinghua University
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Huazhong University of Science and Technology
Chinese, English