Ketian Yu is a human genetics scientist and PhD-trained biostatistician with a decade of experience applying statistical modeling to large-scale multi-omics datasets, now working at Biogen in Cambridge. He brings deep academic rigor from a University of Michigan PhD and a track record of translational internships and research roles, including developing predictive models from social media data at the Chinese Academy of Sciences. Skilled in parallel computing, cross-validation, and temporal signal analysis, he translates complex genomic signals into robust, reproducible insights for drug discovery. Known for combining methodological inventiveness with practical efficiency, he has repeatedly optimized pipelines to scale analyses on massive datasets.
10 years of coding experience
7 years of employment as a software developer
Master’s Degree, Applied Statistics, 4.0/4.0, Master’s Degree, Applied Statistics, 4.0/4.0 at University of Michigan
Bachelor of Science (B.S.), Statistics, 3.5/4.0, Bachelor of Science (B.S.), Statistics, 3.5/4.0 at University of Science and Technology of China
Contributions:35 commits, 25 pushes, 2 branches in 2 years 8 months
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