Ralph Trane
Scientist at University of Wisconsin-Madison
Madison, Wisconsin, United States
Summary
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Senior🎓
Top SchoolRalph Trane is a mathematician-turned-statistician and scientist at UW–Madison with nine years of experience specializing in causal inference, including novel work on nonparametric bounds for two-sample Mendelian randomization and causal estimation under interference. He combines academic research with hands-on consultation to clinicians and faculty in ophthalmology, translating complex methods into practical analyses and teaching through real-world examples. His work has been presented at MR and JSM conferences and includes industry experience investigating causal spillovers during an applied-science internship at Uber. Grounded in a PhD in Statistics and advanced training from Copenhagen and UW–Madison, he brings rigorous theoretical grounding alongside a talent for communicating statistics to non-specialists. An understated strength is his focus on partially identified effects, showing a pragmatic appreciation for uncertainty when classical identification fails.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of Wisconsin-MadisonMaster of Science (MSc) Statistics, Master of Science (MSc) Statistics at Københavns Universitet - University of Copenhagen
English, Danish
Github Skills (37)
probability10
distributions10
aws8
zigbee8
camera6
missing-data6
r-package6
modeling5
r-language5
tidymodels5
tidy5
r4
home-assistant4
tidyverse4
insert4
Programming languages (7)
Github contributions (5)
rmtrane/PUBLHLTH_783_biostats_notes
Sep 2019 - Sep 2023
Contributions:94 pushes, 8 branches in 4 years
rmtrane/distributions3
Jun 2019 - Sep 2020
Probability Distributions as S3 Objects
Contributions:23 pushes, 2 branches, 1 comment in 1 year 2 months
distributionsprobability-distributionsguidprobabilityaws
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