George Trigeorgis is a machine learning researcher at Citadel London with 11 years of experience applying advanced ML to real-world problems. He earned a PhD in machine learning from Imperial College London, where his work unified component analysis and deep learning for applications such as 3D reconstruction, facial biometrics, and speech emotion recognition. His research has been published in top venues (T-PAMI, NeurIPS, ICML, CVPR) and he was awarded a Google PhD Fellowship in 2017 for contributions to machine perception and speech technology. At Citadel he builds data-driven models to surface investable opportunities, bringing academic rigor to quantitative asset management. His background includes a Google research internship and early quant experience at GSA Capital, giving him both research depth and market-focused engineering chops. Colleagues describe him as a researcher who reliably translates complex probabilistic models into production-ready systems.
11 years of coding experience
MEng, Computing, MEng, Computing at Imperial College London
Contributions:52 commits, 1 PR, 45 pushes in 1 year 9 months
mnemonicdeep-learningmethoddescenttensorflow
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George Trigeorgis - Machine Learning Researcher at Citadel LLC