Finn Anderson
Research Interests
Hi there! I'm Finn. I'm a Systems Engineer at Cedana AI, with a Master's degree in Computer Science from UCL. My background is in machine learning and financial mathematics, with a focus on distributed training systems.
My research explores homomorphic encryption, hardware acceleration, and distributed algorithms for efficient training at scale. I'm particularly passionate about hardware-aware optimization and designing training workloads for different architectures.
