Prithviraj (Prithvi) Sen           

I am an applied machine learning researcher who likes to develop algorithms for real-world, practical problems that allow for learning. In the past, I have developed algorithms for a diverse set of challenging tasks such as data integration (in particular, entity resolution), active learning, deep learning, statistical relational learning, learning for structured output spaces and topic models. I am particularly interested in explainable AI where the learned artifact can be readily interepreted by humans.

I graduated with a PhD from University of Maryland, College Park, in 2009, having attained a Master's during my PhD, and before that with a BTech from IIT Bombay in 2003.