Associate Professor of Statistics
- Modeling and analysis of neural spike trains, statistical analysis of spectral/temporal features in birdsongs.
- Current Research
- My research on neural coding is an interdisciplinary study in which I develop mathematical and statistical models to understand how the brain codes (or represents) information and how we can decode neural spike trains to rebuild internal or external activities. I also collaborate with Frank Johnson, Richard Bertram, and Richard Hyson on birdsong analysis. We investigate the functional integration of brain pathways during juvenile learning and adult recitation of songbird vocal patterns. In particular, my work focuses on using statistical methods to analyze experimental data and developing models to characterize song production.