PRSM: Participatory System Mapping

This program generates cyber attack scenarios for use in cyber training exercises, red team planning, blue team planning, automated attack execution, and cybersecurity policy analysis.

An agent-based model to evaluate fiscal redistribution among municipalities

POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University

Utilizing machine learning to examine deforestation rates in the undeveloped region of Paraguay's Chaco

🌱 A qualitative and computational study using NLP on H2020 projects in the context of climate change

Open-source & decentralized AI initiative to analyze policies, simulate fair solutions, and empower global governance with transparency.

COVPOL: An agent-based model of the international COVID-19 policy response

A comprehensive analysis of income inequality in Colombia using the 2024 GEIH dataset. This repository includes data processing, descriptive statistics, visualizations, and policy-oriented insights into socioeconomic disparities across regions and social classes.

My solution of a simple Reinforcement learning problem

Creates mock properties and simulates LUP based on forestry regulations

Government Satisfaction Analysis Framework

Agent-based Model (ABM) using MASON for land use and policy simulations

This is an agent-based simulation model created for evaluating the effect of demand response on the self-sufficiency and expenditure on electricity import for the modeled community.

Comprehensive analysis of spatial distribution equity of athletic facilities in New York City

CaLPA-AI: California Legislative Policy Analysis Repository

An ETL pipeline (and REST API web server) implementation that ingests bulk data (such as CSV files from UK censuses) to produce a single stats lookup table with OA (output area) resolution; queryable by OA, LSOA (lower-layer super output area), MSOA (middle-layer super output area), LAD (local area district), or postal code.

End-to-end Medallion Architecture on Microsoft Fabric for tracking the U.S. government’s 2020 critical minerals: automated pipeline ingests raw CSVs into Lakehouse, PySpark builds a star schema, a lake-based semantic model with DAX & RLS delivers curated data, and Power BI dashboards visualize insights. Contributions welcome!

NORmalising METeorology on air quality

This project analyzes Brent oil prices from 1987-2022, detecting structural changes and associating them with major events to provide data-driven insights for the energy industry.