A few public software projects I have worked on are listed below.
EmbedGEM: A framework to evaluate the utility of machine learning-derived embeddings for genetic discovery. EmbedGEM compares embeddings and multivariate traits using measures of heritability and disease relevance. [Paper]
electoral-sim: A Python package for comparing electoral systems under spatial voter models and different electorate scenarios. [PyPI] [Preprint]
privGAN: A GAN architecture for generating synthetic data while reducing vulnerability to membership inference attacks. [Paper]
UNCURL: A scalable preprocessing framework for single-cell RNA-seq data that uses matrix factorization and can incorporate prior biological knowledge. [Paper]
UNCURL-App: An interactive web interface for single-cell RNA-seq analysis built around UNCURL-style preprocessing, clustering, visualization, and cell-type interpretation.