A research-grade lab for stress-testing DeFi protocols using Solidity mini-systems, a Python simulation engine, and a Streamlit dashboard. Simulates price crashes, liquidity shifts, AMM behavior, lending liquidations, and systemic risk dynamics. Designed for DeFi engineers, auditors, and researchers.

A research-grade tool that analyzes Solidity smart contracts for economic vulnerabilities such as unbounded minting, toxic fee mechanisms, liquidity traps, oracle manipulation, centralized control, and broken financial invariants. Focused on economic correctness, incentive risks, and DeFi system stability.

A research-grade framework for forecasting tokenomic gene evolution across market cycles. Analyzes historical gene frequencies, models behavioral drift, and predicts future gene expression using interpretable trend and moving-average forecasting. Designed for tokenomics research, risk analysis, and evolutionary cryptoeconomics.

ML-powered credit risk dashboard predicting default probability, credit score, and borrower risk rating.

Monte Carlo risk modeling tool for utility Transmission & Distribution projects

Code that implements Factor Analysis of Information Risk (FAIR) in combination with MITRE ATT&CK using Baysian networks (via PyMC) to determine the frequency of successful attacks.

Constraint-based leverage feasibility frontier under interest-rate and occupancy stress scenarios.

Reusable Python functions and case studies for building internal tools in process development and manufacturing ops

🧪 Simulate and analyze DeFi risks through stress-testing scenarios for smart contracts and models in a user-friendly, research-grade environment.

Risk-based student loan pricing model with actuarial framework, progressive subsidies, and interactive calculator. -3B annual savings, equity protections for low-income students.