Chris Martens
(they/them)
Associate Professor, Interdisciplinary with the College of Arts, Media and Design

Education
- PhD in Computer Science, Carnegie Mellon University
- BS in Computer Science, Carnegie Mellon University
Biography
Chris Martens is an associate professor in the Khoury College of Computer Sciences and the College of Arts, Media and Design at Northeastern University, based in Boston.
Martens researches the design of elegant computational abstractions for interactive and generative software, especially creative applications such as generative art and games. Specifically, they study the design of rule systems in various incarnations, including logics, games, policies and laws, generative algorithms, and programming language specifications. Martens’ research relies on and contributes to two main disciplinary foundations: programming languages and generative methods. They enjoy featuring their research interests in their teaching curriculum and are excited to collaborate with Khoury faculty and students.
Martens joined Khoury College in 2022. Previously, they were an assistant professor at North Carolina State University. They received a National Science Foundation CAREER Award in 2019.
Recent publications
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Substructural Parametricity
Citation: C. B. Aberlé, Chris Martens , Frank Pfenning. (2025). Substructural Parametricity CoRR, abs/2503.03153. https://doi.org/10.48550/arXiv.2503.03153 -
Finite-Choice Logic Programming
Citation: Chris Martens , Robert J. Simmons, Michael Arntzenius. (2025). Finite-Choice Logic Programming Proc. ACM Program. Lang., 9, 362-390. https://doi.org/10.1145/3704849 -
Authoring Games with Tile Rewrite Rule Behavior Trees
Citation: Jiayi Zhou, Chris Martens , Seth Cooper. (2024). Authoring Games with Tile Rewrite Rule Behavior Trees FDG, 47. https://doi.org/10.1145/3649921.3656979 -
Privacy Policies on the Fediverse: A Case Study of Mastodon Instances
Citation: Emma Tosch, Luis Garcia, Cynthia Li, Chris Martens . (2024). Privacy Policies on the Fediverse: A Case Study of Mastodon Instances Proc. Priv. Enhancing Technol., 2024, 700-733. https://doi.org/10.56553/popets-2024-0138