Will Landau
Senior Advisor Innovative Statistics
Indianapolis, Indiana, United States
Summary
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Rockstar🎓
Top SchoolWill Landau is a statistician and software developer with 14 years of experience building reproducible, Bayesian-driven solutions for clinical trials and high-throughput biology. At Eli Lilly he architects simulation infrastructure and statistical packages—leveraging his core contributions to rOpenSci’s widely used targets package—to standardize and automate Bayesian methods across neuroscience and cardiometabolic studies. He combines hands-on back-end development and configuration engineering with deep domain knowledge from a PhD in statistics, having accelerated MCMC with GPU computing for RNA-seq while at Iowa State. Based in Indianapolis, Will blends research-grade rigor with practical engineering, driving internal tooling transformations that increased company-wide open-source engagement.
14 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Iowa State UniversityBachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at The University of Chicago
Stackoverflow
5,771reputation
142kreached
117answers
116questions
r
top-5%
Github Skills (16)
configuration-management10
develop10
r-programming10
package-development10
r9
workflow-engine8
reproducible-research8
data-science8
repr7
rep7
visual-studio-code6
knitr6
rmarkdown6
error-handling6
ropensci6
Programming languages (17)
Github contributions (5)
ropensci/targets
Jul 2020 - Jan 2023
Function-oriented Make-like declarative workflows for R
Role in this project:
Back-end Developer & Configuration Engineer
Back-end Developer & Configuration EngineerContributions:60 releases, 48 reviews, 2182 commits in 2 years 6 months
Contributions summary:Will's commits focus on enhancing the configuration and functionality of the `targets` package. The commits involve modifying existing configuration settings, improving the management of the project and storage configuration options. Moreover, the commits introduce and implement improvements related to dependency management and setting the environment variables, ultimately impacting the usability and reliability of the package.
r-packagepipelinerdata-sciencehigh-performance-computing
wlandau/stat503-project
Apr 2015 - Oct 2020
Contributions:1 push, 2 branches in 5 years 7 months
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