Charlie Ringer
Senior Data Scientist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolCharlie Ringer is a Senior Data Scientist at Alpine Formula One Team with 11 years of experience bridging machine learning research and game development. He holds a PhD from the University of York’s IGGI programme, where he specialised in ML-driven highlight detection for video game livestreams—applying research-grade models to real-time media. Early industry roles at Stainless Games and Bossa Games gave him hands-on expertise in gameplay scripting, AI heuristics and tooling, informing a practical approach to productionising ML systems. Based in London, he excels at turning academic ideas into operational analytics for high-performance teams, and often draws on analogue-driven game design methods to surface novel features and signals.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Intelligent Games and Games Intelligence (Computing), Doctor of Philosophy - PhD, Intelligent Games and Games Intelligence (Computing) at University of YorkDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Goldsmiths, University of London
Github Skills (10)
emotion4
multimodal3
probability1
opengl1
cpp1
churn1
game-development1
game-engine1
hosting1
survival1
Programming languages (2)
Github contributions (5)
charlieringer/LoLEmoGameRecognition
Feb 2020 - Feb 2022
Multimodal Joint Emotion and Game Context Recognition in League of Legends Livestreams
Contributions:10 commits, 10 PRs, 11 pushes in 2 years
emotionlivestreamsrecognitionlegendsmultimodal
charlieringer/charlieringer.github.io
Mar 2017 - Apr 2021
Contributions:122 pushes, 4 branches in 4 years 1 month
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