About Me

I am a PhD candidate in Computational Data Science at the McCombs School of Business @ UT Austin, advised by Professor Maytal Saar-Tsechansky. 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 developing artificial intelligence (AI) systems for human-AI collaborative decision-making settings. I am interested in both designing AI methods and studying 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 can AI systems be designed to enhance human decision-making processes, even in the absence of AI assistance on future decisions?
• How can we integrate large language models (LLMs) with traditional machine learning (ML) methods to achieve superior classification performance compared to either approach alone?

Topics of Interest:

• Human-AI Collaborative Decision-Making
• Explainable AI (XAI)
• Information Propagation on Networks
• Misinformation Mitigation
• AI for Liver Transplantation Decision Assistance