Kevyn Collins-Thompson

Kevyn Collins-Thompson is an Associate Professor at the University of Michigan with joint appointments in the School of Information and College of Engineering. As Academic Director of the Master of Applied Data Science program, his research bridges information retrieval, machine learning, and educational technology.

Research focuses on:

• Readability prediction and text difficulty assessment
• Search as learning frameworks
• Adaptive educational systems
• Risk-aware information retrieval
• Human-centered AI for education

Publications demonstrate innovation in educational technology, including gaze-tracking systems for learning optimization and conversational AI for technical reading support. Recent work explores large language models for educational applications.