ABOUT MY WORK
I am primarily involved in researching and developing innovative machine-learning techniques that enable scientific discoveries from high-dimensional data. My areas of interest include computational biology, signal processing, music and audio analysis, manifold learning, spectral data mining, dimensionality reduction, feature selection, and multimodal data analysis.