Summary
Anna Koop is a research developer and PhD candidate in computing science with 11 years of experience applying machine learning, reinforcement learning, and meta-learning to continual and non-stationary problems. Currently at Google DeepMind, she focuses on improving model evaluation using social choice theory, building on prior DeepMind and Amii work bridging academic research and industry deployment. Her background includes leading applied ML teams, teaching core computing courses, and developing proofs-of-concept for long-horizon continual learning research. Comfortable across languages and paradigms, she combines rigorous theoretical grounding with practical engineering—having written production and research code in Matlab, Java, C++, Python, Lisp, and Ruby. An interdisciplinary thinker with interests in cognitive science and amateur philosophy, she brings a habit of curiosity and craftsmanship (and a love of hiking) to complex, human-centered ML problems.
11 years of coding experience
17 years of employment as a software developer
Ph.D Computing Science, Ph.D Computing Science at University of Alberta