Yannis Assael
Staff Research Scientist at GPAI
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolYannis Assael is a Senior Staff Research Scientist at Google DeepMind with 15 years' experience advancing machine learning across audio-visual speech recognition, multi-agent communication, and AI for cultural heritage. A DPhil candidate and prize-winning Oxford MSc graduate, he combines top-tier academic training with entrepreneurial experience as co-founder of LipNet AI and practical software engineering roots. He advises the Hellenic government on AI policy and represents Greece at the Global Partnership on Artificial Intelligence, bridging research, policy, and public benefit. His work has appeared on the cover of Nature and often targets real-world impact—most notably in projects that reconstruct damaged ancient texts and make AI accessible to cultural institutions. Not obviously, he moved quickly from mobile and multimedia engineering roles into frontier AI research, giving him a rare blend of product instincts and deep technical rigor.
15 years of coding experience
8 years of employment as a software developer
MRes Machine Learning, MRes Machine Learning at Imperial College LondonDPhil in Computer Science Machine Learning, DPhil in Computer Science Machine Learning at University of OxfordBachelor's degree Applied Informatics, Bachelor's degree Applied Informatics at University of MacedoniaTechnical University of DenmarkHigh School, High School at Anatolia College
English, Greek
Stackoverflow
1,109reputation
195kreached
7answers
31questions
Github Skills (106)
python10
security10
deep-learning10
gpu10
lstm-neural-networks10
owasp10
lstm10
nlp10
gru10
recurrent10
classification10
security-scanner10
zap10
multi-layer10
machine-learning10
Programming languages (9)
Github contributions (5)
oxford-cs-deepnlp-2017/practical-1
Jan 2017 - Mar 2021
Contributions:7 commits, 1 PR, 7 pushes in 4 years 2 months
teaching
sommerschield/ancient-text-restoration
Oct 2019 - Jun 2022
Restoring ancient text using deep learning: a case study on Greek epigraphy.
Contributions:9 commits, 4 PRs, 8 pushes in 2 years 8 months
pytorchnlpdeep-learningancientepigraphy
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