Nicolas Durrande
Principal Scientist - ML AI Team Lead at Monumo
Cambridge, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolNicolas Durrande is a Principal Scientist and ML/AI team lead based in Cambridge with 12 years of experience bridging academic research and industrial ML applications. He has progressed from postdoctoral work in statistics and machine learning to leadership roles including Director of Research and Research Lead at Secondmind, and now leads AI efforts at Monumo. Trained with a PhD in Applied Mathematics, Nicolas combines deep probabilistic modelling expertise with practical product-driven ML, having run research teams that translate Bayesian and Gaussian process methods into deployed solutions. Known for moving fluidly between theory and delivery, he brings academic rigor to startup and scale-up environments, often focusing on interpretable and uncertainty-aware systems. An understated strength is his track record of mentoring researchers into industry-facing roles, reflecting both technical depth and people leadership.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at École des Mines de Saint-Étienne
Stackoverflow
1reputation
0reached
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Github Skills (20)
bayesian-statistics10
manifold10
gaussian-processes10
information-theory10
stochastic-processes10
gpflow10
gaussian10
variational-inference9
python9
machine-learning9
tensorflow9
deep-learning9
data-science7
neural-network7
ml7
Programming languages (3)
Github contributions (5)
NicolasDurrande/Gaussian-Process-Regression-handout
Jun 2016 - Dec 2016
Contributions:2 commits, 1 push, 1 branch in 5 months
NicolasDurrande/Gaussian-Processes-short-course
Jun 2016 - Jun 2017
Contributions:1 release, 60 commits, 53 pushes in 1 year
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