Brian Dusell is a postdoctoral researcher at ETH Zürich specializing in the intersection of natural language processing, formal language theory, and neural architectures, with a focus on how syntactic structure exposes the limits of contemporary AI like large language models. He earned his PhD at Notre Dame, where his dissertation proposed neural architectures for handling ambiguous syntactic structure, and has industry experience from two AWS applied-science internships and earlier software roles. Brian combines formal theoretical grounding with practical systems experience—from tokenization and architecture analysis to building production software and mobile fintech apps—bringing 13 years of engineering and research experience. Based in Zurich, he explores principled ways to bridge formal language classes and neural models, aiming to make LLMs more structurally robust rather than just larger.
13 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of Notre Dame
Locally convert fonts to web formats and generate CSS rules
Contributions:39 commits, 2 PRs, 20 pushes in 5 years 1 month
cssfont-converterwoffwoff2fontforge
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