Summary
Kathryn Tunyasuvunakool is a senior research scientist at DeepMind with a decade of experience spanning software engineering, systems biology, and AI-driven biology. At DeepMind since 2018, she has contributed from building scalable data pipelines for PDB data to serving as a biology advisor and helping orchestrate the public release of AlphaFold, including publishing work on applying the model to the human proteome and collaborating with EMBL-EBI to assemble a human-plus-model-organisms structure database. In her current role she focuses on robust model evaluation, designing test sets to measure progress on biological questions, while continuing to explore collaboration opportunities with the wider biology community. Before DeepMind, she engineered optimization software at Ocado Technology and conducted PhD research at Oxford on 3D simulations of germ cell behavior in C. elegans, leveraging C++ and the Chaste framework, supported by EPSRC and Microsoft Research. She holds a DPhil in Computer Science from Oxford, an MSci in Systems Biology from Cambridge, and a BA in Mathematics from Cambridge, underscoring a strong foundation in both theory and practical software engineering. Based in London, she combines hands-on development with cross-disciplinary collaboration to translate complex biological problems into scalable computational solutions.
11 years of coding experience
5 years of employment as a software developer
BA, Mathematics, 2.1, BA, Mathematics, 2.1 at University of Cambridge
DPhil, Computer Science, DPhil, Computer Science at Oxford University
English, German