Laura Balzer
Associate Professor
United States
Summary
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Senior🎓
Top SchoolLaura Balzer is an Associate Professor of Biostatistics at UC Berkeley with nine years of post-PhD experience building causal inference and targeted machine learning methods for messy, real-world data. She designs and analyzes randomized trials and observational studies, specializing in differential missingness and complex dependence, and translates methodological advances into impact through longstanding collaborations to eliminate HIV and improve community health in rural East Africa. As primary statistician for the SEARCH consortium since 2010, she blends rigorous theory with pragmatic fieldwork, ensuring methods are deployable at population scale. Trained at Cambridge and Berkeley, her interdisciplinary background in computational biology and applied mathematics informs a pragmatic, problem-driven approach that often uncovers subtle biases in real datasets before they affect policy.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at University of California, BerkeleyBachelor of Science (B.S.), Applied Mathematics, Bachelor of Science (B.S.), Applied Mathematics at University of VermontMaster of Philosophy (MPhil), Computational Biology, Master of Philosophy (MPhil), Computational Biology at University of Cambridge
Github Skills (1)
modeling5
Programming languages (2)
Github contributions (5)
LauraBalzer/HierarchicalTMLE
Jun 2017 - Oct 2019
Contributions:12 commits, 10 pushes, 1 branch in 2 years 4 months
LauraBalzer/test-github
Feb 2017 - Jun 2019
Contributions:2 PRs, 5 pushes, 3 branches in 2 years 4 months
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