Dan Braun is a Member of Technical Staff and AI researcher with nine years' experience focused on interpretability, security, and making large ML systems more understandable and controllable. He has held research and engineering roles at Conjecture, Apollo Research (as Lead Engineer and Security Lead), and Goodfire, and previously built data-efficient, explainable models at NukkAI using Bridge as a testbed. His background blends rigorous computer science and advanced mathematics from the University of Sydney and Wollongong with practical products—earlier founding work produced profitable predictive sports models. A former professional card player who represented Australia in Bridge, he brings a strategic, game-theoretic perspective to AI safety and model behavior analysis.
9 years of coding experience
7 years of employment as a software developer
The University of Sydney
Bachelor of Mathematics Advanced, Bachelor of Mathematics Advanced at University of Wollongong
Trains small LMs. Designed for training on SimpleStories
Contributions:31 reviews, 12 PRs, 16 pushes in 1 year 2 months
lms
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