I am a PhD student in the Department of Computer Science at Purdue University, fortunate to be advised by Drs. Ming Yin and Rajiv Khanna.

I am broadly interested in Human-Centered AI/ML, drawing insights from not only machine learning but also human-computer interaction, behavioral sciences, crowdsourcing etc. My current research focus is on Human-AI Interaction and eXplainable AI (XAI). Specifically, I am interested in building AI systems that complement human capabilities by design and exploring ways to enhance the practical utility of explainability techniques, ultimately aiming to elevate the performance of human-AI teams.

Before joining Purdue, I earned my undergraduate degree from LUMS and had the privilege of collaborating with researchers from TUKL-NUST R&D Lab, University of Virginia and University of Notre Dame. I also briefly wore a Data Scientist hat at Afiniti, where I contributed to refining Customer Experience Artificial Intelligence (CXAI) by optimizing agent-caller pairing in call center-like environments.