I am a PhD candidate at the University of Michigan School of Information, advised by Christopher Brooks and Xu Wang. My research lies at the intersection of Learning Sciences, Human-Computer Interaction, and AI.

I study and experiment with educational technology that is both powered by and created for learners, by involving them in creative learning activities that foster their higher-order thinking skills and lead to the generation of educational content. I also study the impact of student-AI collaborative learning activities on students' learning outcomes. I am interested in designing student-AI interactions that leverage students' creativity, help them learn deeply, and enhance their critical interaction skills with evolving AI models. 

My work has been recognized with two Best Paper Awards at leading conferences on educational technology. My research during an internship with the PROSE team at Microsoft led to the deployment of a tool for providing programming hints to students in a large online data science course at the University of Michigan. 

Before this, I worked at IBM Research Labs, India on AI+HCI applications in early childhood learning and civic welfare. I graduated from the Indian Institute of Technology Delhi (IIT Delhi) in 2017, with a Master's and Bachelor's in Mathematics and Computing

In my spare time, I enjoy music, dancing, traveling, and playing with my two cats :)