Nuno Nene
Honorary Lecturer at UCL
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolNuno Nene is an applied mathematician and honorary lecturer in London with nine years of research-focused experience translating stochastic and time-series theory into biomedical applications. His work spans Bayesian inference, MCMC optimization, hidden Markov models, Gaussian processes and network identification from time-series, with a particular interest in noise-induced phenomena and dynamic bifurcations near critical transitions. He has held roles across UCL, the Francis Crick Institute and Cambridge, embedding statistical methodology into oncology and surgical biotechnology projects. Nuno combines rigorous SDE/ODE modelling with modern machine learning tools including deep neural networks to tackle complex biological dynamics. Colleagues value his ability to bridge abstract stochastic theory and practical data-driven solutions for network and community detection in experimental time-series. An underappreciated strength is his steady cross-departmental track record at UCL, moving fluidly between mathematics, statistics and life-science departments to deliver interdisciplinary impact.
9 years of coding experience
18 years of employment as a software developer
Licenciatura, Physics Engineering, Licenciatura, Physics Engineering at Instituto Superior TécnicoUniversity College London
French, Spanish, Portuguese, EnglishGithub contributions (1)
nunonene/Evaluating-genetic-drift-in-time-series-evolutionary-analysis
Jul 2016 - Feb 2017
Contributions:36 commits, 35 pushes, 1 branch in 7 months
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