My research on neural coding in motor cortex is an interdisciplinary study in which I have been applying mathematical and statistical methods to understand how the brain codes (or represents) information and how we can decode neural signals to rebuild internal or external behaviorals. One key application of the methods is to build effective Brain-Machine Interfaces which are to bridge the gap between population neuronal activity and external devices such as robotic limbs or computer cursors. I study neural activity (spikes and LFPs) recorded from a multi-electrode array chronically implanted in a Macaque monkey's primary motor cortex (MI) as well as dorsal and ventral premotor cortex (PMd and PMv).

I have been collaborating with Frank Johnson and Richard Bertram on birdsong analysis. The Johnson lab investigates the functional integration of three distinct brain pathways (auditory, pre-motor, and striatal) during juvenile learning and adult recitation of songbird vocal patterns. My work with Johnson and Bertram focuses on statistical methods to analyze experimental data and developing models to characterize song production.