Jane Liang
Research Scientist Biostatistician
United States
Summary
👤
Senior🎓
Top SchoolJane Liang is a Research Scientist and Biostatistician with 12 years of experience applying rigorous statistical methods to clinical and public health research, currently advancing studies at Kaiser Permanente Northern California’s Division of Research. She holds a PhD in Biostatistics from Harvard and a BA in Statistics from UC Berkeley, and has held senior analytic roles at Stanford Medicine and research positions at Harvard and the University of Tennessee. Jane blends deep methodological expertise with practical programming and collaboration across multidisciplinary teams to translate complex data into actionable clinical insights. Known for bridging academic rigor with operational research needs, she often pairs advanced causal inference and longitudinal modeling with reproducible analytic workflows to support impactful health policy and care delivery decisions.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.) Statistics, Bachelor of Arts (B.A.) Statistics at University of California, BerkeleyDoctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Harvard University
Github Skills (22)
mixed-models9
linear-models9
splines9
matrix7
closed6
least-squares6
statistical-models5
interpolation4
statistics4
causal-inference4
random-forest4
machine-learning3
econometrics3
scripting2
data-science2
Programming languages (5)
Github contributions (5)
janewliang/project-alpha
Oct 2015 - Dec 2015
Contributions:157 pushes, 94 branches, 1 tag in 1 month
janewliang/janewliang.github.io
Jun 2017 - Nov 2024
Contributions:9 pushes, 1 branch in 7 years 7 months
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