Rob Trangucci - Assistant Professor at Oregon State University

Rob Trangucci

Assistant Professor at Oregon State University

Ann Arbor, Michigan, United States

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Summary

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Rob Trangucci is an Assistant Professor and statistician with 11 years of experience building and validating probabilistic models and numerical algorithms. He earned a PhD in Statistics from the University of Michigan and combines academic research with hands-on contributions to the Stan ecosystem, improving core C++ autodiff and distribution implementations (notably Cholesky/LDLT work and Poisson/Beta/Binomial code and tests). His background spans industry and academia—from quantitative social science at Columbia to applied roles in health and sentiment analytics—giving him a practical bent on reproducible, production-ready statistical software. Based in Ann Arbor, he bridges theoretical understanding of Gaussian processes and priors with pragmatic data-science engineering, and his attention to error messaging and test coverage shows a focus on usability often overlooked in numerical libraries.

11 years of coding experience

4 years of employment as a software developer

BA, Cum Laude, Physics, BA, Cum Laude, Physics at Bucknell University

Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of Michigan

Master of Arts (M.A.), Quantitative Methods in the Social Sciences, Master of Arts (M.A.), Quantitative Methods in the Social Sciences at Columbia University in the City of New York

Stackoverflow

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Github Skills (21)

deco10

matrix-decomposition10

c-language10

probabilistic-programming10

decomposition10

testing10

distributions10

gaussian-processes10

eigen10

statistical-models10

numerical-methods10

decompose10

error-handling10

stan10

probability-distribution10

Programming languages (8)

C++ROCamlTeXStanHTMLEmacs LispPython

Github contributions (5)

stan-dev/example-models

Dec 2014 - Aug 2017

Example models for Stan

Role in this project:

Data Scientist

Contributions:21 commits, 2 PRs, 10 pushes in 2 years 8 months

Contributions summary:Rob primarily contributed to the example models for Stan, a probabilistic programming language. Their work involved modifying data files and Stan model code for Gaussian Process (GP) models. These changes included updates to the data used for fitting and prediction in different GP configurations, with a focus on adapting data and models to address the different model types and prior distributions used by Stan. The user's changes involved several refinements and data adjustments used by various GP models.

stan

stan-dev/stan

Oct 2014 - Aug 2017

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

Role in this project:

Back-end Developer & Data Scientist

Contributions:272 commits, 16 PRs, 171 pushes in 2 years 10 months

Contributions summary:Rob's commits primarily involve the development of core statistical functions and distributions within the Stan probabilistic programming language. The user implemented and refined functions for the Beta and Binomial distributions, along with tests for exception handling. They also added code for the log and CDF implementations of the Poisson distribution. Further, they are adding and modifying code for the Gumbel, Weibull, and Inverse Gamma distributions.

bayesian-inferencestanmasterbayesian-statisticsdetails

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