I am a PhD candidate in the Department of Computer Science at Purdue University, advised by Dr. Ming Yin. My research interests are in the fields of human-AI interaction, applied artificial intelligence, and fairness. Specifically, I focus on investigating fairness issues in the artificial intelligence (AI) development pipeline from a human-in-the-loop perspective. This includes examining how human biases sneak into AI models and how to mitigate these biases. As well as understanding how humans perceive and react to AI models with different fairness properties, especially if they can strategically respond to AI models' decisions. My research has led to publications at top-tier AI venues, including the International Joint Conference on Artificial Intelligence (IJCAI) and the AAAI/ACM Conference on AI Ethics and Society (AIES).

In addition to my research, I have been recognized with several teaching awards for my role as a Graduate Teaching Assistant. One such honor is the Graduate Teaching Award, received in Fall 2022, in supporting a graduate-level data mining class. Additionally, in 2020, I was awarded the prestigious Raymond Boyce Graduate Teacher Award for my teaching assistance to an undergraduate-level computer architecture class.

Before attending graduate school, I received my bachelor's degree from Purdue University, Department of Computer Science with distinction in December 2018.