I'm a Deep Learning Scientist at Apple, previously deep learning PhD from Oxford.
My PhD is in deep learning & computer vision at Oxford's VGG group with Prof Andrew Zisserman. There I worked on deep learning for human pose and gesture recognition.
Before Oxford I did my BA in computer science at Cambridge where I worked on computer vision & affective computing, kickstarting research into recognising facial micro-expressions (very short facial expressions useful for lie detection).
I love awesome products & moonshot projects. I'm driven by high-risk high-reward tech projects that tackle socially important problems.
I've interned with Google, advised deep learning startups & played chief data scientist for a startup.
In my spare time I fly (I'm training for my private pilot license), play piano and ride horses :)
I'm now working on generative models, particularly Generative Adversarial Networks (GANs).
We published a paper on it at Apple:
Learning from Simulated and Unsupervised Images through Adversarial Training that won the best paper award in CVPR'17.