Diana Borsa
Associate Professor
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolDiana Borsa is an Associate Professor and machine learning researcher based in London with a decade of experience bridging academic rigor and industry research at UCL and DeepMind. Her work focuses on reinforcement learning, multi-agent systems, probabilistic modelling and representation learning, driven by a long-term interest in understanding and progressing toward general intelligence. At DeepMind she progressed from intern to staff research scientist, combining theoretical math and empirical agent learning to tackle interactive and cognitive modelling problems. Trained with dual BSc degrees in EECS and Mathematics and a PhD in Machine Learning from UCL, she blends deep formal grounding with practical experimental expertise. She often explores less-trodden angles—such as RL paradigms for financial derivatives and social-data-informed health risk prediction—reflecting a curiosity that spans optimisation, cognition models and classical statistical learning.
10 years of coding experience
4 years of employment as a software developer
University College LondonBachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at Jacobs University BremenMaster of Science (MSc), Machine Learning, Master of Science (MSc), Machine Learning at University College London, U. of London
Romanian, Spanish, GermanGithub contributions (5)
compgi13/tutorial
Jan 2017 - Feb 2017
Contributions:14 commits, 12 pushes in 22 days
dianaborsa/TensorFlow_Examples
Jul 2016 - Aug 2016
Contributions:8 pushes, 1 branch in 1 month
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