Research

Agentic AI, financial risk, and analytics research.

Published research and selected working projects across agentic AI evaluation, temporal leakage, financial replay, mortgage credit risk, and applied analytics.

Research Portfolio

Publications and active research

Peer-reviewed and conference work is listed alongside private research systems summarized at a public-facing level.

The research portfolio connects data science with evaluation design: how to build benchmarks, avoid leakage, measure model behavior, and reason about AI systems in financial and organizational settings.

Current Research

Financial agent replay benchmark

Leakage-aware counterfactual replay research for testing how financial AI agents behave when future information is removed.

Current Research

Mortgage credit-risk forecasting

Forecasting work focused on credit-risk signals, portfolio behavior, and reproducible modeling workflows for financial risk analysis.

Research section visual
Research portfolio Papers, frameworks, and analytical studies across multiple domains.