My academic journey is driven by a deep commitment to exploring the intersection of economics, machine learning, and artificial intelligence. My research focuses on addressing critical issues like algorithmic bias, economic inequality, and the societal impacts of AI. I’m particularly passionate about developing economic-aware machine learning algorithms and uncovering the economic value of unstructured data.
Throughout my career, I’ve been honored to receive several recognitions, including being the youngest recipient of the INFORMS Information Systems Society Distinguished Fellow award and being named the PhD Distinguished Alumnus by the University of Washington in 2022. These accolades motivate me to continue pushing the boundaries of research, particularly in how businesses can leverage AI and machine learning innovations ethically and effectively.