About Me

I am an Assistant Professor of AI in Business at the Martin Tuchman School of Management @ NJIT. I hold a PhD in Computational Data Science from the McCombs School of Business @ UT Austin. Prior to joining UT, I received an M.S. in Statistics from the University of North Carolina @ Chapel Hill and a B.S. in Statistics and Information Systems from the Stern School of Business @ NYU.

Research

My research focuses on the development of trustworthy and reliable artificial intelligence (AI) systems for human-AI collaborative decision-making settings. I both design AI methods and study how humans interact with and benefit from AI. My ongoing research explores several key questions:

• How to develop personalized AI decision advisors that reliably improve expert decisions across different contexts and expert behaviors?
• How should AI systems be designed to enhance human decisions in uncertain, no-feedback settings? Should AI systems abstain from advising in some cases? How do users respond to AI abstention policies?
• What drives user and consumer perceptions of AI and what are the implications for businesses?

Topics of Interest:

• Human-AI Collaborative Decision-Making
• Explainable AI (XAI)
• Ethical AI and Fairness
• Information Propagation on Networks
• Misinformation Mitigation