Juho Rousu

Juho Rousu

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.

Full researcher profile
Postal address
Konemiehentie 2 02150 Espoo Finland
Phone number

Areas of expertise

Algorithms, Metabolomics, Graph and network data, Structured prediction, Kernel methods, Machine learning