My research focuses on the development of artificial intelligence (AI) and especially natural language processing (NLP) methods to enable scalable and effective personalized learning in education. My research spans areas such as learner modeling, personalization, content generation, and human-in-the-loop AI. My vision is to build an machine learning system that enables a world in which every learner has access to highquality, affordable, and personalized learning. I have co-organized a series of workshops on machine learning for education; see ml4ed for details.
At the same time, I am generally interested in machine learning topics, including convex and nonconvex optimization, Bayesian inference, deep learning, and the future of work.