Summary
Christopher Klamm is a researcher and NLP specialist blending computational political science with philosophy-informed governance perspectives across academia and applied labs. With nine years of interdisciplinary experience—from ETH Zurich and Fraunhofer visual analytics to UKP and Oxford’s computational political science groups—he focuses on argumentation mining and political text analysis while pursuing a PhD in NLP. He has a track record of turning research into tools and teaching materials (e.g., work on the Argotario serious game and explanatory video tutorials) and regularly mentors and coaches students in presentation, writing, and team skills. Comfortable shifting between hands-on engineering, project management, and policy-facing research, he brings both technical rigor and a knack for communicating complex methods to non-specialists. Unusually for a researcher, he pairs formal computer science training with an M.A. in Governance & Public Policy, which shapes his pragmatic approach to socially relevant NLP problems.
9 years of coding experience
3 years of employment as a software developer
Exchange Semester Computer Science (UZH and special student ETH) and Political Science (UZH), Exchange Semester Computer Science (UZH and special student ETH) and Political Science (UZH) at University of Zurich
Technischen Universität Darmstadt
Doktor (Ph.D.) Natural Language Processing, Doktor (Ph.D.) Natural Language Processing at University of Mannheim