Summary
Siyu Han is a data science and computational biology postdoctoral scientist with nine years of experience applying machine learning and deep learning to digital health and multi-omics biomedical data. She has developed and maintained BigCatZoo, an open-source tool suite for ncRNA–protein interaction prediction, technical variation correction, and multi-omics imputation, and has translated that research into reproducible pipelines and teaching for master's students. Her work spans precision medicine projects that integrate genetics, proteomics, metabolomics and longitudinal measurements, with a strong track record of coordinating transitions, responding to peer review, and ensuring project continuity. Now based in Munich, she recently joined Johnson & Johnson Innovative Medicine where she continues to bridge research-grade methods and applied biomedical analytics.
9 years of coding experience
4 years of employment as a software developer
Doctor of Natural Sciences (Dr. rer. nat.), Experimental Medicine and Health Sciences, Doctor of Natural Sciences (Dr. rer. nat.), Experimental Medicine and Health Sciences at Technical University of Munich
Master of Engineering (MEng), Software Engineering, Master of Engineering (MEng), Software Engineering at Jilin University
Master of Science (MSc), Advanced Computing, Master of Science (MSc), Advanced Computing at University of Bristol
English, Chinese, Japanese