All models are wrong, but some are useful. — George E.P. Box
Cognitive, systems, and decision neuroscience. Machine learning and data analysis. Python, R, and Matlab. Brain-related items of public interest from an insider’s view.
I’m a research assistant professor in the Duke Institute for Brain Sciences and the Center for Cognitive Neuroscience. My research focuses on applying methods from machine learning to brain data, in which capacity I collaborate with faculty in the Duke Statistical Machine Learning Group and the Information Initiative at Duke.
I also have a special interest in the neurobiology of reward and decision-making, particularly issues of impulsivity and self-control. My first love (and training) was physics, so I like to make things quantitative when I can. Finally, I’m fascinated by animal behavior and approaches to neuroscience based on natural tasks like foraging, mate selection, and collective decision making.