Publications

An empirical investigation of whether AI-generated summaries selectively under-represent risk-related information in corporate financial disclosures.

A generative-AI-assisted analysis of alignment between a high school mathematics pathway and data-intensive workforce competencies.

A multimodal framework integrating large language models, financial news, earnings conference calls, and market data for financial risk prediction.

A multimodal framework integrating large language models, Retrieval-Augmented Generation, and multimodal feature fusion for extracting trading signals from earnings conference calls.

A comparative study of factor-based models for estimating SOFR term structures using Genetic Algorithms, Nelson–Siegel models, and Kalman Filtering.