Alexander Rix
Data Scientist Scientific Programmer
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolAlexander Rix is a data scientist and scientific programmer with nine years of experience specializing in structure learning and causal discovery, applying constraint-based Bayesian network algorithms to clinical questions like alcohol use disorder and schizophrenia. Based in Ann Arbor, he builds high-performance R packages with C-backed functions and a generalized aggregation wrapper for bootstrapping and hyperparameter stability studies, bridging rigorous simulation work with real-world clinical collaboration. His background in mathematics, physics, and applied math informs a strong analytical approach and numerical fluency, developed through research and teaching roles. A practitioner of parametric polymorphism in C and an aficionado of Byzantine history, he brings both deep technical craft and eclectic intellectual curiosity to complex data problems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BS), Mathematics, Physics, Applied Math, Bachelor of Science (BS), Mathematics, Physics, Applied Math at Loyola University Chicago
Github Skills (13)
examine10
causal9
causality8
causal-inference8
variable-selection8
bayesian7
julia5
statistics5
image-generator1
r-package1
image1
image-processing1
cran1
Programming languages (5)
Github contributions (5)
tzimiskes/causality
Dec 2017 - Sep 2019
Examine The Causal Structure of Data
Contributions:454 commits, 3 PRs, 331 pushes in 1 year 9 months
causalexaminecausal-inferencecausality
umich-cphds/higlasso
Aug 2019 - Nov 2020
Contributions:2 releases, 69 pushes, 5 tags in 1 year 2 months
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