Bryce Dietrich’s research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. He uses these techniques to understand the causes and consequences of elite emotional expressions in a variety of institutional settings, with a particular emphasis on non-verbal cues, such as vocal pitch.