Department of Computer Science
I am interested in developing principled machine learning methods, models and tools for computational and data science. My methods toolbox is primarily built on regularised learning, kernels and sparsity, as well as efficient convex/non-convex optimisation methods. My favourite topics include learning with multiple and structured targets, multiple views and ensembles. Applications of interest include metabolomics, biomedicine, pharmacology and synthetic biology.
Postal addressKonemiehentie 2 02150 Espoo Finland
Areas of expertise
Algorithms, Metabolomics, Graph and network data, Structured prediction, Kernel methods, Machine learning