United Kingdom
Solving Problems Using Technology
Contributed to DeepMind's ground-breaking work on applying Reinforcement Learning to the domain of Tokamak control. See our publication from 2023 https://arxiv.org/abs/2307.11546 Leading the design and engineering for the integration of Reinforcement Learning into several business critical processes across Alphabet. Working to drive and apply progress in large language models to advance Google's user-facing LLM, Gemini.
Worked as a Research Engineer at PROWLER.io (now Secondmind) collaborating with researchers to build models, run experiments, and develop new machine learning algorithms. In this role, I applied reinforcement learning to decision making in stochastic networks, explored Bayesian techniques for combining human and machine intelligence, developed a novel distributed reinforcement learning algorithm and applied transformers to AutoML for time series regression with Gaussian Processes.