Bruno Gavranović
Research Advisor @Google DeepMind
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WORK HISTORY
Research Advisor @Google DeepMind
EDUCATION
University of Zagreb / Sveučilište u Zagrebu
Bachelor of Computer Seience, Computer Science
University of Strathclyde
Doctor of Philosophy - PhD, Applied Category Theory
Faculty of Electrical Engineering and Computing (FER), Zagreb
Master's degree, Computer science
Universidad Politécnica de Madrid
Master, Artificial Intelligence
SKILLS
ABOUT BRUNO GAVRANOVIĆ
I\'m building neural networks that generate provably correct code, and the software infrastructure for training them.My work is driven by a long-term research programme [1] on Categorical Deep Learning [2]. I pursue this work through Coend [3], a company I founded dedicated to it. I am also affiliated with Glasgow Lab for AI Verification [4], where I work on structured tactics [5] for theorem proving.I hold a PhD in computer science, with a specialisation in category theory. My thesis \"Fundamental Components of Deep Learning: A category-theoretic approach\"[6] is work I am extremely proud of, go check it out!On the research side I work on three fronts:1. New architectures: Understanding old, and designing new neural networks that natively consume and produce structured data2. Mathematical Foundations: Building the mathematics necessary to state precisely what it means to generalise, especially on data structures recursive in nature3. Infrastructure: Building the stack required to train such networks in dependently-typed languages: tensor processing, automatic differentiation and elaborator integrationIn all of these, I use category theory, the mathematics of structure and composition, as a central glue.My most recent project is TensorType [7]: a framework for type-safe, pure functional and non-cubical tensor processing.[1]: https://categoricaldeeplearning.com/[3]: https://glaive-research.org/[5]: https://github.com/bgavran/TypeSafe_Tensors
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