Hello there!

I am a PhD candidate at Imperial College London, exploring reinforcement learning and differentiable programming for process optimization and autonomous control. I hold a bachelor’s degree in theoretical and computational physics (check out my interactive kicked rotor simulator).

Previously I worked as a data scientist and an MLOps engineer, where I architected scalable infrastructure and developed predictive models for wholesale energy trading and supply chain optimization. More recently I worked as a ML research intern at The Alan Turing Institute, where I explored the use of graph attention networks as cyber defence agents using reinforcement learning.

I am interested broadly in applied machine learning research (lately attention, GNNs and RL) and its deployment to solve real-world problems.