Jordan Suchow is an Assistant Professor and cognitive scientist with 13+ years of experience bridging computer science, behavioral experiments, and sociotechnical systems. Trained at Brandeis (B.S.) and Harvard (Ph.D.), he blends experimental rigor with scalable engineering—leveraging crowdsourcing platforms and information systems to study perception and collective behavior. He led DARPA-funded research at UC Berkeley and now runs interdisciplinary work at Stevens that connects individual cognitive processes to large-scale sociotechnical phenomena. An active open-source contributor, Jordan has improved tooling from psiTurk for MTurk experiments to documentation and features in widely used projects like spaCy and proselint. His background in both LaTeX tooling and backend integrations reflects a rare combination of hands-on engineering and theory-driven research. He is especially drawn to the interfaces between disciplines, pursuing work that both explains human behavior and builds the systems that make large-scale experiments possible.
13 years of coding experience
Doctor of Philosophy (Ph.D.), Cognitive Science, Doctor of Philosophy (Ph.D.), Cognitive Science at Harvard University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Brandeis University
Contributions:163 commits, 11 PRs, 89 pushes in 9 years
Contributions summary:Jordan primarily worked on refactoring the LaTeX dissertation templates, updating the `harvard-thesis.cls` file. They made adjustments to font features, package usage, and formatting. The user also added support for other schools by refactoring the code and adding specific style files. Furthermore, the user made updates to the build scripts.
Contributions:26 releases, 30 reviews, 1274 commits in 6 years 6 months
Contributions summary:Jordan primarily contributed to the development of the `proselint` project, a linter for prose. Their work involved implementing new features, such as adding checks for various stylistic issues and grammatical errors. They also worked on improving the project's functionality by fixing bugs in the command-line interface and enhancing the web application. Additionally, the user made improvements to the existing code base and website.
linterlintadviceknowledgestyle
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Jordan Suchow - Assistant Professor at Stevens Institute of Technology