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James Foulds (Jimmy)

Assistant Professor
Information Systems Department
University of Maryland, Baltimore County
MD 21250
USA

Email: jfoulds at umbc dot edu
Office: ITE 447

About Me

I am an assistant professor in the Information Systems department at UMBC. My work is in the area of statistical machine learning. Previously, I was a postdoctoral scholar at the University of California, San Diego under the Data Science Postdoctoral Fellowship program, co-sponsored by ITA, Calit2, the Qualcomm Institute, CSE and ECE. Before that, I was a postdoctoral scholar in Lise Getoor's LINQS research group at UCSC, and I graduated from Padhraic Smyth's DataLab group at UCI. For more information, see:


Research Interests

My research interests are in both applied and foundational machine learning, focusing on probabilistic models and Bayesian inference algorithms to learn them from data. My work aims to promote the practice of latent variable modeling for applied research in disciplines such as computational social science and the digital humanities. I develop models and algorithms for finding interpretable latent structure in data such as social networks and text, which may provide a window into human nature.

Overview of James Foulds' research

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