Zheng Ning is a Senior Data Scientist based in Sweden with 9 years of experience applying rigorous statistical and mathematical methods to large-scale genomic and industrial data. With a PhD-focused background in quantitative genetics and a master’s in statistics, he has developed novel genome-wide association methods and translated complex findings into actionable insights. He has scaled his analytical impact from academic research at Karolinska Institutet to production analytics roles at Volvo Group and now Nordea. A fast learner with strong programming skills and curiosity, he thrives on extracting signal from noisy datasets and communicating results to cross-functional teams. Actively seeking roles in data-forward companies, he has a particular interest in leveraging analytics within the game industry. A less obvious strength is his blend of deep theoretical training and practical deployment experience, enabling both methodological innovation and real-world impact.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Applied Mathematics, GPA 3.74 / 4.00, Bachelor of Science - BS, Mathematics and Applied Mathematics, GPA 3.74 / 4.00 at Zhejiang University
Master's degree, Statistics, Master's degree, Statistics at Uppsala University
High-definition likelihood inference of genetic correlations (HDL)
Contributions:97 commits, 6 PRs, 92 pushes in 1 year 11 months
statisticshdlcorrelationsgeneticinference
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