About me

I work at ILT Education, where I do everything from knowledge tracing to machine learning to artificial intelligence. Since many ILT products are related to books, articles, and other forms of text, I do a lot with natural language processing as well - it's fun figuring out how multilingual LLMs really are.

Before working in industry, I was a postdoc at the Karolinska Institute, working in the Klingberg lab. I did my Ph.D. at the University of Pennsylvania under Dr. Ryan Baker. I've worked on publications in learning analytics, growth mixture modeling, and bibliometrics.

In the past, I’ve worked on a variety of projects within education, most recently with machine learning methods but also using more traditional statistical modeling.

I’ve spent a lot of time studying knowledge tracing, comparing and modifying algorithms to predict student knowledge. I’ve also built detectors of student affect (emotional state) and engagement for intelligent tutoring systems and educational games. My dissertation focused on predicting end-of-course evaluations from student activity in learning management systems.

Before coming to learning analytics, I studied the research impact of higher education faculty members and worked on several projects that used growth mixture modeling, a variant of growth curve modeling, to study preschool learning behaviors.

Some papers that I’ve worked on are available on my publications page.