My PhD is oriented towards efficiency in CNNs for use in computer vision, both in terms of inference and learning. More generally, I am interested in improving the current architecture and paradigms of neural networks as well as utilising techniques such as reinforcement learning to push the state of the art in AI.

Coding has been a great passion throughout my life, especially in C++ with CUDA and python. However, I have come to realise through experience that I don't just want to implement other peoples' ideas, but come up with my own. That is why I have chosen to start a PhD.

Apart from Machine Learning, I have a deep and detailed understanding of Computer Graphics, Computational Physics, Imaging, Data/IO, Multi-threading and GPU optimisation. I am proficient in C, C++, Python, CUDA, C#, html/js and lua.