Cătălina Cangea

Research Scientist at Google DeepMind

London, England, United Kingdom
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Summary

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Senior
🎓
Top School
Cătălina Cangea is a Senior Research Scientist with 10 years' experience at the intersection of machine learning, multimodal and generative AI, currently contributing to core music-AI projects such as Lyria and leading GDM workstreams for product launches. She holds a PhD in Machine Learning from the University of Cambridge (awarded with no corrections) and has a track record of internships and residencies at top labs and Big Tech, including DeepMind and Google. Passionate about enabling creative exploration, she focuses on extracting valuable signals from large datasets and designing rigorous human evaluations to bridge research and usable tools. A seasoned mentor and instructor since her graduate years, she has accumulated hundreds of teaching hours and brings both competitive programming rigor and research depth to production-facing AI systems.
code10 years of coding experience
bookMaster of Arts - MA, Master of Arts - MA at University of Cambridge
bookColegiul National "I.L.Caragiale" Ploiesti
languagesFrench, Romanian, English
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Github Skills (22)

representation-learning10
computer-vision8
vision-and-language8
robotics8
benchmark8
speech-processing8
machine-learning7
multimodal7
reinforcement-learning7
natural-language-processing7
question-answering7
deep-learning6
graph-embedding5
spotlight5
graph4

Programming languages (1)

Python

Github contributions (5)

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catalina17/VideoNavQA

Jul 2019 - Nov 2020

An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)
Contributions:46 commits, 4 PRs, 43 pushes in 1 year 4 months
cross-modalityconditioninginformativemultimodalmachine-learning
catalina17/XFlow

Oct 2019 - Apr 2020

Contributions:32 commits, 31 pushes, 1 branch in 6 months
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