About

Conrad Borchers is a PhD candidate at the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University, School of Computer Science, advised by Vincent Aleven and Ken Koedinger. His research advances intelligent systems that support learner persistence, assessment, and educational outcomes through human-centered design and learning analytics. He focuses on AI-supported self-regulated learning in middle and high school students and data-informed course selection in higher education, using methods from machine learning, data mining, and natural language processing to inform scalable educational interventions. Borchers holds an MSc in Social Data Science from the University of Oxford, where his thesis on labor market analysis using Stack Overflow data earned the OII Thesis Prize for Best MSc Dissertation, and a BSc in Psychology from the University of Tübingen, Germany.

Education

Carnegie Mellon University

Ph.D. , Computer Science

Class of 2026

Awards & Publications