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.
10 years of coding experience
Master of Arts - MA, Master of Arts - MA at University of Cambridge
Contributions:32 commits, 31 pushes, 1 branch in 6 months
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