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Finley Griffin
Biography
Fin is a machine learning engineer with experience in AI for theoretical physics research and software engineering in industry. Before joining Accelerate, he completed his integrated Master’s in Physics at the University of Oxford. Fin is particularly interested in how software engineering principles and MLOps can be used to build infrastructure that makes research software more scalable and reproducible. He is also interested in applying machine learning to the life sciences.
Institution: University of Cambridge
Department: Department of Computer Science and Technology
Position: Machine Learning Engineer, Accelerate Programme
Team: main
CRSID: flsg2