Austin Ebel is a first year Ph.D. student in the ECE department advised by Brandon Reagen. Prior to coming to NYU, he received a B.S. degree in Electrical Engineering and Computer Science from Columbia University, and spent some time designing ultra-low power, deep learning algorithms, and developing mathematical frameworks for optimal investments in information security. Out of this experience, he has narrowed down his research interests to “the intersection of machine learning and computer architecture,” and hopes to realize this focus by developing a “hardware/software co-design for privacy-preserving machine learning here at NYU.” In his free time, Ebel enjoys swimming, exploring NYC (especially for good pizza), and working on several gaming-related projects.
Personal website: austinebel.net