Open science
Data & Code
This is where I will share datasets, analysis code, and reproducible projects as they become available. My work uses Python and R, with explicit random seeds, pinned dependencies, and documented data sources so that results can be verified and extended.
Explicit random seeds
Reproducibility by default
Pinned dependencies
Stable environments
Documented data sources
Transparent provenance
Sensitivity analyses
Robustness checks
Projects coming soon
I am preparing a small collection of reproducible projects and datasets to publish here, spanning textual analysis, AI in accounting, and market disclosure. Please check back, or get in touch if you would like early access or to collaborate.
Get in touchWhat to expect
Datasets
Curated and cleaned data with documented provenance
Analysis code (Python / R)
Reproducible scripts with pinned environments
Replication materials
Full replication packages with explicit random seeds
Methodological notes
Detailed documentation of design choices and sensitivity analyses
Read reflections on this work
Read insights