I am a Ph.D. candidate in Business Data Science at the Martin Tuchman School of Management at New Jersey Institute of Technology (NJIT). I am advised by Dr. Yi Chen. Prior to NJIT, I attended the State University of New York at Geneseo, and earned a bachelor’s degree in Applied Mathematics. I am currently on the academic job market.

My research interests generally focus on the application of AI to business problems, and the implications of deployed AI systems. Most commonly, my research focuses on applications of AI in the digital publishing and advertising industries. My dissertation explores applications of computer vision and natural language processing technologies to better understand how businesses respond to privacy regulation and how this impacts user privacy on the Web through the automated detection of noncompliant or manipulative websites. More recently, my work has focused on investigating and quantifying how generative search systems such as ChatGPT and Google AI Overviews are impacting digital publishers and their ability to produce high-quality content. I also explore how generative search systems are impacting information ecosystems and the quality of information received by users. In other publications and works in progress, I have developed and evaluated AI and machine learning systems with applications to digital advertising, healthcare, explainable readmission prediction, and uncovering biases in human decision-making.

Research Interests

• Impact of Generative Search on Digital Publishing Industry
• Web Privacy and Compliance
• Impact of Generative AI on Information Ecosystems
• Explainable, Fair, and Responsible AI
• Applications of AI in Business (healthcare, advertising, decision-making)
• Digital Advertising Ecosystem