synadam is an R package that generates synthetic ADaM clinical trial datasets from real data using a glimpse-then-simulate approach. It preserves statistical properties and data structure while removing patient identifiers, enabling safe data sharing for pharmaceutical research and regulatory collaboration.

A Python library for benchmarking uncertainty estimation and quantification methods for Machine Learning models predictions.

Data pre-processing and chemprop model for frequent hitter prediction

This repository contains code examples for several methods in a Causal Inference in RCTs short course.

Tool-set to support Bayesian evidence synthesis in R

Deep survival analysis made easy

PISCES is a pipeline for rapid transcript quantitation, genetic fingerprinting, and quality control assessment of RNAseq libraries using Salmon.

Computational pipeline for the preparation of the AVIDbase dataset of nanobody-antigen crystal structures from the PDB.

The codebase created to support the application of artificial intelligence for predicting the subcellular localization of solute carrier transporter (SLC) proteins. We developed an iterative method that harmonizes human annotations with AI-based model outputs.