Darren Homrighausen
Instructional Full Professor at Texas A&M University
Bryan, Texas, United States
Summary
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Senior🎓
Top SchoolDarren Homrighausen is an Instructional Full Professor at Texas A&M University with nine years of focused experience in teaching and research on modern statistical machine learning. He designs and teaches statistical ML courses across undergraduate, M.S., and Ph.D. levels and has taught foundational topics like generalized linear models and multivariate analysis. His research bridges applied domains—from biology and astrophysics to macroeconomic forecasting—and advances methods for performing sound statistical inference under computational constraints. Darren has a strong academic pedigree with a Ph.D. in Statistics from Carnegie Mellon and a track record of collaborative, interdisciplinary work and grant-supported research. He is known for turning theoretical insights into practical classroom material and tools that help practitioners apply rigorous statistics when classical methods are infeasible. Based in Bryan, Texas, he maintains an active professional presence through his website and ongoing contributions to teaching and applied methodology.
9 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree Economics and Mathematics, Bachelor’s Degree Economics and Mathematics at University of Colorado DenverApplied Mathematics PhD Program, Applied Mathematics PhD Program at University of Colorado BoulderDoctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Carnegie Mellon University
Github Skills (4)
serve4
spring-boot3
spring3
java2
Github contributions (5)
darrenho/darrenho.github.io
Aug 2017 - Mar 2025
Contributions:122 pushes, 1 branch in 7 years 8 months
STAT6306/lectures
Aug 2017 - May 2018
Contributions:95 pushes, 1 branch in 8 months
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