My research interests lie in the fields of Artificial Intelligence and Machine Learning and their application to healthcare problems. More specifically, I am interested in the areas of Relational Learning, Reinforcement Learning, Graphical Models, and Planning. Please read more about our projects and team on our team webpage.

Till 2013, I was a faculty member at Translational Science Institute of Wake Forest School of Medicine. I was a Post-Doc earlier at the Department of Computer Science in the University of Wisconsin Madison, working with Professors Jude Shavlik and David Page.

I completed my PhD in fall 2007 under Professor Prasad Tadepalli in the School of EECS at Oregon State University.

Note to incoming students: If you are interested in working with me, please register for a course that I teach. I do not hire students before they take my course. Also, I do not have any internship/short-term positions. Please do not contact me if you want to work with me for less than a year.


Our collaborative paper between the data and design teams of health informatics on Identifying Rare Diseases from Behavioural Data: A Machine Learning Approach is accepted at IEEE CHASE 2016.

Active advice-seeking for Inverse Reinforcement Learning accepted at AAMAS 2016.

Our paper on Scaling Relational Learning and Inference via Approximate Counting is accepted at SDM 2016.

Learning Relational Continuous-Time Bayesian Networks paper accepted at AAAI 2016.

Our paper on transfer in relational domains is to be presented at ICDM 2015.

I am the co-chair of the AAAI Student Outreach Activities. If you are a student attending AAAI 2016, you should check the website out.

Our DARPA grant on Cognitively Coherent Human-Computer Communication is funded.

I was awarded the Trustees Award for Teaching Excellence at IU.

I co-organized the UAI 2015 workshop on Statistical Relational AI (STAR AI '15).

Thanks to Turvo Inc for the generous gift.

Thanks to XEROX PARC for the faculty award.