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e3SIM is an open-source, agent-based simulator designed to model infectious disease dynamics by explicitly integrating epidemiological, ecological, and evolutionary processes (epi-eco-evo). It allows for realistic simulations of pathogen spread, mutation, and environmental factors in diverse host-pathogen systems.

FRIENDS GUI is an open-source, Python-based tool designed to extract, decode, and visualize 24-hour puffing topography (PT) data collected from a passive vaping monitor (FRIENDS). It assists in evaluating Electronic Nicotine Delivery Systems (ENDS) use and informing regulatory decisions.

kTYPr is an in silico tool designed to map the natural diversity of Escherichia coli transporter-dependent capsules (K-types). It uses an HMM-based approach to infer serotypes from whole genomic sequences, aiding in the study of E. coli ecology and pathogenicity.

An open-source R package designed for standardizing and visualizing population characterization in multi-database observational studies using the OMOP Common Data Model (CDM). It generates descriptive statistics on demographics, comorbidities, medication exposures, and cohort overlap.

A comprehensive R package providing 'nowcasting' methods for correcting downward bias in real-time epidemiological surveillance data due to reporting delays. It allows users to benchmark and compare various methods for timely public health decision-making.

HealthProcessAI is a framework for applying process mining to healthcare data. It uses a blend of Python (PM4PY) and R (bupaR) with integrated LLMs to interpret complex clinical workflows and generate actionable insights.

InSilicoVA is an R package implementing the InSilicoVA algorithm to assign individual causes of death and estimate population cause-specific mortality fractions from verbal autopsy interview data in an InterVA-like input format, providing model fitting, customization, and basic visualization of results.