Financial agent replay benchmark
Leakage-aware counterfactual replay research for testing how financial AI agents behave when future information is removed.
Published research and selected working projects across agentic AI evaluation, temporal leakage, financial replay, mortgage credit risk, and applied analytics.
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.
Leakage-aware counterfactual replay research for testing how financial AI agents behave when future information is removed.
Forecasting work focused on credit-risk signals, portfolio behavior, and reproducible modeling workflows for financial risk analysis.
Dissertation research plan connecting temporal leakage, counterfactual replay, herding, liquidity fragility, and systemic risk in AI-mediated financial markets.
Benchmark design work for AI-mediated financial markets, market-quality harm, manipulation-risk indicators, and systemic-risk signals.
Research in progress on leakage-aware counterfactual replay for financial AI agents, decision reversal, and risk-evaluation validity.
Research in progress on temporal mortgage credit-risk prediction using loan-performance history, time-aware validation, and baseline forecasting models.
Point-in-time benchmark material for auditing whether AI agents use information unavailable at simulated decision time.
Research study on the drivers of purchase intention in Afghanistan, examining consumer attitudes, norms, demographics, and country-of-origin effects.
Published research examining how intellectual alignment, social alignment, inertia, and emergent coordination influence organizational agility.
Published research proposing an integrated fuzzy MCDA framework for evaluating and selecting sustainable suppliers in developing-country supply chains.
Published study on how social effects and perceived value influence in-app purchase intention and mobile-app usage duration.
Conference research examining user gratification, social identity, and motivations behind following brand pages on social media.