I am a postdoctoral researcher at the National Center for Supercomputing Applications (NCSA), which is part of the University of Illinois at Urbana-Champaign. Prior to joining NCSA, I graduated from the University of Notre Dame with a PhD in computer science.
My research employs machine learning to model human emotion, engagement, and learning, with a special focus on the fair treatment of students who are members of underrepresented groups.
I work with data from diverse, human-centered sources such as facial expressions, clickstream logs, and eye gaze tracking. I derive computational models from these data with a variety of methods, from linear regression to deep learning, answering research questions in the areas of human-computer interaction, education, and information science. My current research interests are especially centered around egalitarian data mining methods (e.g., how can user models be made equally accurate for minority populations?), online education (e.g., do students' online interactions with each other predict success?), and related areas.