Shuangxi Ji is a Senior Data Scientist with nine years of experience applying computational biology and machine learning to improve clinical outcomes for cancer patients. Trained with a PhD in computational biosciences from the University of Birmingham and an MS in biomedical engineering from Peking University, he has bridged academic research and industry practice through a postdoc at MD Anderson and a team-lead role building algorithms in industry. Now at Eisai US, he focuses on developing computational tools for genomic and pathological data that translate into actionable insights for oncology. Known for combining deep domain knowledge with practical implementation, he brings experience deploying research-grade methods into real-world workflows and collaborating across multidisciplinary teams in the US and China.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Biomedical/Medical Engineering, Master's degree, Biomedical/Medical Engineering at Peking University
Doctor of Philosophy - PhD, Biosciences (computational biology), Doctor of Philosophy - PhD, Biosciences (computational biology) at University of Birmingham
Contributions:7 releases, 10 commits, 5 PRs in 1 year 1 month
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