This document discusses probabilistic machine learning research that develops new methods for probabilistic modeling, Bayesian inference, and machine learning, with a focus on learning from multiple data sources, Gaussian processes, data visualization, retrieval of relevant data, machine learning for user interaction, personalized medicine, and brain signal analysis and neuroinformatics. The research problems include modeling for personalized medicine.

1. Probabilistic Machine Learning
We develop new methods for probabilistic modeling, Bayesian inference and
machine learning.
Keywords:
• learning from multiple
data sources
• Gaussian processes
• data visualization
• retrieval of relevant
data
• machine learning for
user interaction
• personalized medicine
• brain signal analysis
and neuroinformatics
Example of our research problems: Modelling for
Contact: Samuel Kaski, Aki Vehtari
personalized medicine