Jinyu Li is a Data Scientist II at Microsoft with a Ph.D. in Statistics and over five years of experience turning advanced analytics into measurable business impact for consumer products, especially within Xbox. She builds and deploys predictive models—such as five-year CLV forecasts—and conducts content strategy analyses that inform first- and third-party content decisions and targeted marketing. Her background blends rigorous academic research (novel algorithms for inverse covariance estimation and temporal gene co-expression networks) with industry-facing forecasting and campaign measurement work at Intuit and Microsoft. Based in Redmond, she mentors graduate students and routinely translates complex statistical methods into production-ready pipelines on cloud infrastructure. Notably, her academic algorithms improved covariance estimation by ~30%, a technical edge she brings to customer-centric problems.
5 years of coding experience
5 years of employment as a software developer
Master's degree, Statistics, Merit, Master's degree, Statistics, Merit at Imperial College London
Doctor of Philosophy (PhD), Statistics, GPA: 3.96/4, Doctor of Philosophy (PhD), Statistics, GPA: 3.96/4 at University of Nebraska-Lincoln
Heriot-Watt University Edinburgh Campus
Bechelor of Economics, Insurance (Actuarial Science Stream), Bechelor of Economics, Insurance (Actuarial Science Stream) at Southwestern University of Finance and Economics
The source for REST API specifications for Microsoft Azure.
Contributions:13 pushes, 1 branch, 2 tags in 1 day
apispecificationsrestmicrosoft-azuremicrosoft
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