Xia Shen
Professor at The University of Edinburgh
Guangzhou City, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolXia Shen is a statistical geneticist and professor with nine years of focused experience translating complex omics data into robust genetic insights across academia. She leads research groups at Fudan University and holds concurrent professorships and fellowships at institutions including Sun Yat-sen University, Karolinska Institutet, and the University of Edinburgh. Trained with a PhD in bioinformatics from Uppsala University and an MSc in statistics, she develops statistical methodology for genomic data analysis with an emphasis on the genetics of complex traits. Her work bridges theory and applied bioinformatics, producing reproducible tools and publications visible on Google Scholar and summarized in her Statistical Omics GitHub profile. Colleagues note her rare combination of deep statistical rigor, cross-cultural research leadership, and hands-on data analysis experience dating back to actuarial work. She frequently integrates methodological innovation with large-scale genetic studies, enabling new discoveries in trait architecture.
8 years of coding experience
2 years of employment as a software developer
MSc, Statistics, MSc, Statistics at Högskolan DalarnaBSc, Statistics and actuarial science, BSc, Statistics and actuarial science at Renmin University of ChinaPhD, Bioinformatics (Statistical Genetics), PhD, Bioinformatics (Statistical Genetics) at Uppsala University
Chinese, English
Github Skills (10)
sports-data9
genetic9
hdl7
statistics6
inference4
computational-biology3
meta3
meta-analysis3
bioinformatics2
electrophysiology2
Programming languages (1)
Github contributions (5)
xiashen/MultiABEL
Jun 2017 - Jun 2021
Contributions:26 commits, 26 pushes, 1 branch in 4 years
xiashen/TGCA
Jul 2020 - Jul 2021
Contributions:1 release, 14 pushes, 1 branch in 11 months
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