Hi, my name is Greg Canal, and I’m a Senior AI Research Scientist in the Intelligent Systems Center at The Johns Hopkins University Applied Physics Laboratory. Previously, I was a postdoctoral research associate working with Rob Nowak at the Wisconsin Institute for Discovery, UW-Madison. I completed my PhD with Chris Rozell in the School of Electrical and Computer Engineering at Georgia Tech, and earned my B.S. in Electrical and Computer Engineering at Duke University.

In my research, I develop and analyze foundational machine learning models and algorithms, including problem domains such as comparison-based recommender systems and active learning. With a background in statistical signal processing, I view many of the problems I work on through the lens of efficient information acquisition: given some source of data, how can a minimal set of measurements (or labeled data points) be selected and processed in a computationally efficient manner to learn a generalizable model.

Feel free to check out a more detailed description of my research, view a list of my publications, or watch some of my talks.

Contact: greg (dot) canal (at) jhuapl (dot) edu