Yi Yang
Assistant Professor at City University of Hong Kong
Hong Kong, China
Summary
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Senior🎓
Top SchoolYi Yang is an Assistant Professor at City University of Hong Kong with 14 years of experience at the intersection of biostatistics and computational genomics. Trained with a PhD in Biostatistics from the University of Minnesota, Yi has developed scalable, computationally efficient algorithms for family-based association tests and Bayesian variable selection models for high-dimensional genomic data during research roles at Columbia and Minnesota. Their work blends rigorous statistical methodology with practical collaboration in multicenter clinical studies, serving as principal statistician on multiple projects. Yi’s background in management information systems and a non-traditional additional master’s in social work inform a systems-aware, human-centered approach to research and teaching. Based in Hong Kong, they maintain an academic homepage showcasing publications and tools that support reproducible genomics analyses. Colleagues describe Yi as a methodologist who consistently translates complex genetic data challenges into computationally tractable solutions.
14 years of coding experience
6 years of employment as a software developer
Master’s Degree, Social Work, 3.8/4.0, Master’s Degree, Social Work, 3.8/4.0 at New York UniversityUniversity of Minnesota Twin CitiesBachelor’s Degree, Management Information Systems, 3.9/4.0, Bachelor’s Degree, Management Information Systems, 3.9/4.0 at Zhejiang University
Chinese, EnglishProgramming languages (1)
Github contributions (5)
emeryyi/glmvsd
Sep 2014 - Nov 2016
Contributions:72 commits in 2 years 2 months
mcgillstat/seminar_blogdown
Feb 2018 - Oct 2024
Contributions:21 pushes, 1 branch in 6 years 9 months
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