Software

I develop and maintain open-source tools that make privacy-preserving methods and machine learning techniques accessible to researchers. All code is available on GitHub.

tabfound: Tabular Foundation Models in R

Runs pretrained tabular foundation models (TabPFN, TabICL, TabFM, Mitra) in pure R torch, with no Python needed to fit or predict.

RGAN: Generative Adversarial Networks in R

R package for training Generative Adversarial Networks, available on CRAN with 10,000+ downloads.

MIBench: Multiple Imputation Benchmark

First standardized benchmark for evaluating multiple imputation algorithms across diverse scenarios.

partyscape: Diversity Profiles for Party Systems

Diversity profiles, profile crossings and beta diversity for party-system research.

Private Post-GAN Boosting

Replication code for ICLR 2021 paper on differentially private synthetic data generation.