My career has been motivated by a singular and genuine curiosity into what it means to learn from evidence, and in particular from evidence arising from measurements, i.e., data. This has driven me to study a variety of subjects, including mathematical logic, epistemology, probability theory, statistical modelling, machine learning and artificial intelligence. From a technical standpoint I am focused on the analysis of learning from streaming data in highly dynamic situations, ranging from cybersecurity to neuroimaging. Following an academic career as a Research Fellow at Cambridge University and an Associate Professor at Imperial College, I co-founded a startup in Machine Learning for da...
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data scienceartificial intelligencemachine learningdata mininganalyticsdata analysiscybersecurityanomaly detectionunsupervised learningsupervised learningbusiness intelligencebig datahiring data science
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