Michael Kleinsasser
Statistical Programmer Stat Consulting
Laramie, Wyoming, United States
Summary
👤
Senior🎓
Top SchoolMichael Kleinsasser is a statistical programmer and consultant with eight years of applied experience, currently supporting biostatistics research at the University of Michigan through R programming, data visualization, and Bayesian computation. He holds an M.S. in Statistics from the University of Wyoming and a strong quantitative foundation from a mathematics B.S., bringing teaching and research experience to collaborative projects. Michael works across domains—from environmental consulting and R package contributions to biostatistical studies—and pursues problems well-suited to small-data inference and careful uncertainty quantification. He is preparing a study on migraine and weather variability, reflecting an appetite for interdisciplinary questions that blend domain knowledge with rigorous statistical methods. Known for clear statistical communication and hands-on consulting, he is available for private consulting engagements.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Statistics, Master's degree, Statistics at University of WyomingBachelor's degree, Mathematics, Bachelor's degree, Mathematics at North Dakota State University
Github Skills (33)
state-space9
meta-analysis9
biostatistics8
variable-selection8
historical8
r-package8
bayesian7
modelica7
bioinformatics6
tidymodels5
statistics5
clinical-trials5
regression4
julia4
sequential4
Programming languages (7)
Github contributions (5)
umich-biostatistics/SBLF
Apr 2020 - Jun 2022
Spatial Bayesian Latent Factor Models for Image-on-Image Regression/ Guo, Kang, and Johnson
Contributions:2 PRs, 24 pushes, 5 branches in 2 years 2 months
regressionkangspatialfactormachine-learning
umich-biostatistics/lcra
Nov 2019 - Mar 2024
Joint latent class and regression analysis using MCMC/ Michael Elliot
Contributions:20 PRs, 89 pushes, 10 branches in 4 years 4 months
regressionmachine-learningmichaeljointregression-analysis
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