RESEARCH PROJECTS
Welcome to my research portfolio!
I am a PhD candidate in Business Administration (Finance) at the University of Massachusetts Boston. My research examines the intersection of technology and finance, with a particular focus on how emerging technologies influence corporate social responsibility (CSR) and financial decision-making. I also explore how technological tools can foster equity in education, making learning more inclusive and accessible. With a background in Financial Engineering and Technology Management, my work bridges academic research and practical solutions to address complex challenges in business and society.
When Words Don’t Match Deeds: The Cost of AI Washing in Corporate Lending
This paper explores the phenomenon of AI washing, where firms emphasize AI adoption rhetorically without substantive implementation or integration into their operations. It examines the motivations behind this practice, its implications for stakeholders, and the resulting challenges in evaluating genuine technological advancement. Leveraging generative AI and Natural Language Processing, the study provides an innovative approach to identifying and analyzing AI washing, offering insights into distinguishing superficial claims from authentic AI adoption.
Navigating the Storm: Evaluating Company’s Expected Exposures and Disclosure to Climate Regulation using Generative AI
This research introduces a novel measure to assess climate regulatory risk by leveraging firm business description summaries and analyzing the impact of new regulations passed by the EPA on firm operations. Using large language models (LLMs), the study identifies regulatory exposure and interprets its implications for businesses, offering a cutting-edge approach to understanding the intersection of environmental policy and corporate risk management. \\
Presented at: Generative AI Conference by Journal of Banking and Finance*, MRS International Risk Conference (2025)*, Global Finance Conference* (2025)
The Price of News Desert: The Impact of Newspaper Closures on Financial Service Quality
This study examines the effect of local newspaper closures on the quality of financial services. We explore how the loss of local journalism impacts transparency, accountability, and information flow in financial markets. The findings reveal a significant decrease in financial service quality following newspaper closures, highlighting the critical role of local media in maintaining the quality of financial services and consumer trust
Presented at: Global Finance Conference (2025)*
Achieving Access in Higher Education through Generative AI: The BORE Framework for Prompt Engineering
This paper introduces a prompt engineering framework to enhance interdisciplinary learning and critical thinking in business education. By leveraging large language models (LLMs) through structured, pedagogically-informed prompts, the framework supports students in navigating complex, cross-domain material and developing transferable analytical skills. We demonstrate practical classroom applications and discuss the implications for teaching in data-driven, AI-augmented environments.
Bridging Disciplines: Leveraging AI for Cross-Disciplinary Research in Graduate Education
This study explores how AI, particularly generative AI, can facilitate cross-disciplinary research among graduate students. It examines AI's role in breaking knowledge silos, enabling interdisciplinary collaboration, and enhancing research efficiency. By analyzing case studies of AI-assisted research across fields, the paper provides insights into how graduate students can effectively utilize AI tools to bridge gaps between disciplines, foster innovation, and accelerate knowledge integration.