My research is best described as computational psychiatry. I investigate the applicability of neural and mathematical models, derived from cognitive neuroscience, to questions in clinical domains. My experimental work utilizes reinforcement learning tasks to examine cognitive processes implicated in obesity. Additionally, I use computational modeling and machine learning to examine dysfunctional cognitive processing in disordered eating and ADHD.
Prior to coming to Duke for my PhD, I worked for two years with RTI International conducting health communications research. I graduated magna cum laude from Duke in 2014, with degrees in biology and psychology.