Summary
Scott Fraundorf is an associate professor and cognitive scientist at the University of Pittsburgh who applies statistical modeling, experiments, and machine learning to understand memory, language comprehension, and student learning. He directs the MAPLE Lab and department quantitative training, has mentored over 70 researchers, and led interdisciplinary teams to translate cognitive science into educational technology and physician skill-retention guidance. With deep hands-on skills in Python, R, SQL, eye-tracking, and open-source toolboxes he’s developed, Scott has produced 35+ peer-reviewed articles, secured substantial grant funding, and holds three patents for intelligent tutoring systems. He combines rigorous quantitative methods (mixed-effects models, IRT, SEM, random forests) with practical deployment experience—building adaptive tutors and data collection toolkits used across labs. An educator at heart, he’s known for turning cognitive models into usable software and training materials that measurably improve learning outcomes.
10 years of coding experience
8 years of employment as a software developer
B.A., Psychology, B.A., Psychology at University of Oregon
University of Illinois Urbana-Champaign
Japanese, English