Christopher Runyon is a measurement scientist at NBME. His current primary research focus is the assessment of clinical reasoning. He also has experience building automated scoring frameworks that utilize natural language processing (NLP) and machine learning (ML). His prior academic work includes the study of causal inference with observational data, thinking heuristics and biases, philosophical and mathematical logic, and non-classical logic systems. Christopher received his doctorate in quantitative methods at the University of Texas in Austin, a master’s in cognitive psychology at James Madison University, undergraduate degrees in philosophy and psychology at Virginia Commonwealth University, and an undergraduate degree in religious studies at the University of Virginia.