Hey there! I am a PhD candidate at the Department of Computer Science & Technology, University of Cambridge. My research, funded by the Gates Cambridge Trust, focuses on developing generalisable reinforcement learning (RL) models for the decarbonisation of building operations. More specifically, I am developing models that can rapidly adapt to new buildings without extensive retraining, aiming to bridge the gap between simulation success and real-world deployment.

Previously, I have explored the design and operation of sustainable energy systems for residential homes, incorporating technologies such as solar PV, stationary batteries, and bidirectional EVs.

Currently, my research is centred on meta RL, in-context RL and model-based RL to optimise the operation of HVAC systems in commercial buildings. I am visiting David Rolnick's and Yoshua Bengio's labs at Mila - Quebec AI Institute from March to September 2025.