I am a fourth year PhD candidate at University of Michigan, Ann Arbor. My research interests are at the intersection of Machine Learning and Human-Computer Interaction (HCI).

I develop adaptive AI systems that enable people to reason under risk and uncertainty in complex decision-making scenarios. For example, enabling decision-makers in education to conduct accurate assessments of students for admissions and course waivers or designing adaptive meeting recap that considers meeting participant's goals and expertise to provide them the most relevant information. I borrow from cognitive science to build approximate user models for tasks, and use them with Reinforcement Learning to improve Human-AI interaction. I bring in strong computational and model building skills from my prior industry experience to build systems for Human-AI interaction and my training in HCI allows me to conduct real world study on improving Human-AI interaction. E.g., I recently built a bayesian network from a massive dataset of 3M records to model personal information and using it to study personalization - privacy trade-off.

I am an open source contributor to Wikipedia, and I also administered their Google Summer of Code internship program in 2016,17. Specifically, I contributed majorly to the mobile Wikipedia website to make it high-performant. For my services I was nominated by Wikimedia Foundation to attend Google summer of code mentor summit in 2017, and invited to present my research at the monthly Wikimedia research showcase in 2021.