I am interested in developing principled machine learning methods, models and tools for computational and data science. My methods toolbox is primarily built on kernel methods and regularised learning, as well as efficient optimisation algorithms. My favourite topics include learning with multiple and structured targets, multiple views and ensembles. Applications of interest in computational biology include network reconstruction, gene functional classification as well as biomarker discovery.

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