I am a principal learning scientist at Amplify. Previously I was a research scientist in the School of Interactive Computing at Georgia Institute of Technology and a postdoctoral researcher in the Institute for Intelligent Systems at University of Memphis. I received my PhD from Dartmouth College in 2018, where my research focused how retrieval practice (testing) influenced learning of materials that contained causal relations and the complexities of measuring such knowledge. 

My interests include: knowledge tracing (estimating student knowledge with a model over time), algorithms to pair with those models to make practice decisions, psychometrics to improve the signal from the practiced content ingested by the model, and the science of learning that drive development of the models and pedagogical decisions that guide it. I am also interested in how to measure student engagement in digital environments, detecting off-task behavior, knowledge graphs, interplay between attention and memory, scientific replication, time series modeling, LLMs for content generation, LLMs as peer learners for students.