Currently a member of the Systems Neuroscience & Artificial Intelligence Lab (SNAIL) at the University of Washington, focusing on developing computational models and algorithms to understand how single-trial neural population activity drives our abilities to generate movements, make decisions, and learn from experience.
Background
Research interests lie at the intersection of neuroscience, neuroengineering, machine learning, and data science. Specific areas include using machine learning for neural data analysis, decision making and motor control, population-level changes in neural activity during learning, and brain-computer interfaces.