Daniel Fischer
Wissenschaftlicher Mitarbeiter at Universitätsklinikum Hamburg Eppendorf
Hamburg, Germany
Summary
🤩
RockstarDaniel Fischer is a research-focused software engineer and wissenschaftlicher Mitarbeiter in Hamburg with nine years of experience applying R to quantitative and qualitative research problems. He contributes actively to the popular easystats ecosystem, enhancing statistical model diagnostics and performance metrics and adding support for specialized packages like systemfit. Daniel combines back-end R development with technical writing, having improved package installation workflows, exported methods, and prepared figures and tables for Bayesian analysis manuscripts. His work spans generalized linear, mixed, and Bayesian models, with particular attention to reliable measures such as Efron's R2 and ICC. Colleagues benefit from his mix of systems-theory perspective and pragmatic coding—he often surfaces subtle statistical pitfalls through clearer functions and documentation.
9 years of coding experience
Github Skills (17)
data-visualizations10
data-science10
r10
statistics10
data-visualisation10
statistical-models10
data-visualization10
bayesian-statistics9
lm9
generalized-linear-models9
bayesian9
glm9
rmarkdown9
data-analysis8
documentation8
Programming languages (9)
Github contributions (5)
easystats/performance
Feb 2019 - Jan 2023
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Role in this project:
Data Scientist and R Developer
Data Scientist and R DeveloperContributions:20 releases, 59 reviews, 1647 commits in 3 years 11 months
Contributions summary:Daniel primarily worked on the R code for the `performance` package, focusing on statistical model quality and performance metrics. Contributions included adding support for the `systemfit` package and providing improvements in existing measures, such as Efron's R2. Additionally, the user revised and documented several functions within the package related to the calculation of various statistical indices, tests and plots, particularly concerning generalized linear, mixed, and Bayesian models.
aicstatisticsmuscleeasystatsmodels
easystats/easystats
Jan 2019 - Dec 2022
:milky_way: The R easystats-project
Role in this project:Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:6 releases, 29 reviews, 356 commits in 3 years 11 months
Contributions summary:Daniel primarily worked on enhancing the functionality of the easystats suite, focusing on the implementation of methods and the installation process, including creating functions for various installation methods. They modified core R files to export methods and update startup messages. Additionally, the user contributed to improving the documentation by preparing figures and tables for the manuscript on Bayesian analysis.
r-packagestatisticshypothesis-testingeasystatsregression-models
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.