I am a PhD candidate in Machine Learning, currently at the Alan Turing Institute. I focus on adaptation in non-stationary environments, primarily using techniques from meta-learning, transfer learning, continual learning and reinforcement learning. The goal is to develop algorithms that autonomously adapt to changes in their environment and learn new tasks on the go without forgetting how to perform previous tasks.

I recently worked at Amazon's CoreML lab in Cambridge, and before my PhD I worked as a data scientist at The Boston Consulting Group Gamma. I did my B.Sc. and M.Sc. at the Stockholm School of Economics, where I focused on applying game theory to problems in political economy and using dynamic programming for dynamic macro-economic modeling.

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