Lauren Liao
Biostatistician
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolLauren Liao is a biostatistician with nine years of research and applied experience, currently at Kaiser Permanente Division of Research after completing a PhD in Biostatistics at UC Berkeley. Her work centers on causal inference, improving observational study design and trial analysis to generate more reliable evidence for clinical and public health decisions. She prioritizes supporting understudied, underrepresented, and underreported populations through both research and mentorship, bringing equity-driven perspectives to methodology. With a background in mathematical statistics and hands-on neuroscience lab research, she blends rigorous quantitative skills with practical data science consulting experience. Based in Berkeley, she combines academic rigor with translational impact in large healthcare settings.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of California, BerkeleyUniversity of California, San Diego
English
Github Skills (38)
spectral9
noise9
typesetting8
markup7
causal-inference6
r6
journal5
academia4
creative-commons4
open-access4
compiler4
version-control4
binder3
bash3
regression2
Programming languages (6)
Github contributions (5)
ldliao/jointVIP
Oct 2021 - Jan 2023
Prioritize variables in observational study design through the joint variable importance plot
Contributions:1 release, 59 commits, 10 PRs in 1 year 3 months
causal-inferenceobservational-studyrrstatsstudy-design
ldliao/tl4rct
May 2023 - Nov 2023
Contributions:15 pushes, 1 branch in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.