Shu Yang
Full Professor at North Carolina State University
Raleigh, North Carolina, United States
Summary
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Senior🎓
Top SchoolShu Yang is a Full Professor of Statistics at North Carolina State University with over a decade of research and academic experience focused on causal inference for complex longitudinal data, especially applications in chronic disease and cancer. Rising through faculty ranks from assistant to full professor since 2016, she combines deep methodological development with applied public health collaborations forged during a Harvard School of Public Health postdoc. Shu’s work centers on time-varying confounding and novel causal methods that address real-world longitudinal study challenges, bridging rigorous theory and translational impact. Based in Raleigh, NC, she trained in applied mathematics and statistics (Beijing Normal University; PhD work at Iowa State) and brings a rare blend of mathematical rigor and practitioner-oriented problem solving to biostatistical questions.
10 years of coding experience
9 years of employment as a software developer
BS, Applied Mathematics, BS, Applied Mathematics at Beijing Normal UniversityPh.D Candidate, Mathematics and Statistics, Ph.D Candidate, Mathematics and Statistics at Iowa State University
Github Skills (9)
paths2
variable-selection2
predictive-modeling2
sports-data2
regularization2
mixed-models2
regression2
data-storage1
regression-models1
Programming languages (1)
Github contributions (5)
shuyang-stat/contTimeCausal
Feb 2019 - May 2021
Contributions:17 commits, 15 pushes, 1 branch in 2 years 3 months
shuyang1987/IntegrativeHTEcf
Apr 2020 - Jun 2023
Contributions:3 pushes, 1 branch in 3 years 2 months
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