Peter J. Ramadge

I am the Gordon Y.S. Wu Professor of Engineering, and Professor of Electrical Engineering at Princeton University. My research interests are in statistical and machine learning methods for signal and data analysis. This includes both theory and applications. I have active collaborations with several neuroscientists at Princeton and elsewhere on applying ideas from signal processing and machine learning to problems in fMRI data analysis. To learn more about my research please go to the Research Pages link on the menu bar.

I teach undergraduate courses at Princeton on signals, feedback control, signal and image processing and machine learning. I teach a graduate course at Princeton on machine learning and pattern recognition. This course draws students from a wide variety of disciplines including computer science, economics, electrical engineering, finance, mathematics, neuroscience, operations research, physics, politics, and sociology.