Charlie is a PhD student as part of the IGGI Center for Doctoral Training at the University of York.

About Charlie

Charlie’s research focuses on live streaming services and how we can model interesting moments in these streams, e.g. game highlights or emotional moments.

In order to achieve this Charlie is taking a broad, multi-field approach utilising a variety of Deep Learning techniques, such as Affective Computing, Computer Vision, and Natural Language Processing, in order to take advantage of the rich multi-view environment presented by live streaming platforms.

Charlie is very interested in the way we can take external cues from these services along size internal cues from the game itself in order to improve the robustness of the learned models.

Charlie also has experience working in the games industry, having previously worked at Stainless Games, mostly on the Magic: The Gathering – Duels of the Planeswalkers series of games, and having taken an internship with Bossa Studios.

Key words

Deep Learning, Machine Learning, Computer Vision, Livestreaming

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