Summary
Curt Tigges is a mechanistic interpretability researcher and Member of Technical Staff based in San Francisco with eight years of experience translating deep model behaviors into usable tools and libraries. He has led engineering and science efforts at Decode Research and EleutherAI, building widely used open-source toolkits (Probity, SAELens, CLT training pipelines) and large-scale circuit analysis pipelines spanning models from 70M to 13B parameters. Curt combines hands-on ML engineering—multi-GPU training, activation/path-patching tooling, and production activation pipelines—with applied data science and optimization experience from prior industry roles. His work bridges rigorous research and practical infrastructure, shipping reproducible analysis platforms like Neuronpedia while mentoring teams on mechanistic techniques. An MCS (Data Science) from UIUC, he’s notable for operationalizing cutting-edge mech interp methods into public libraries that other researchers rely on.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Science Technology and Society, Bachelor of Science (B.S.) Science Technology and Society at North Carolina State University
Master of Computer Science Data Science track, Master of Computer Science Data Science track at University of Illinois Urbana-Champaign
English, Japanese, Chinese