Summary
Renmin Han is a Professor of computational sciences at Shandong University with a PhD in Computer Science from the Institute of Computing Technology, CAS, and over eight years of research experience spanning medical image processing, bioinformatics, computer vision, and high-performance computing. He has led development of open-access computational tools including AuTom for automated electron tomography, high-density super-resolution fluorescence microscopy algorithms that fuse deep learning and Bayesian inference, and nanopore signal processing modules using wavelets and dynamic programming. His work bridges theoretical methods and practical pipelines, focusing on designing computer solutions for biological problems and accelerating large-scale reconstructions. Notably, his projects emphasize reproducibility and open software, reflecting a commitment to making advanced computational methods accessible to experimental communities.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Chinese Academy of Sciences
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Beijing University of Posts and Telecommunications
English, Japanese, Chinese