Biomedical Data Science

Our goal is to study and develop computational methods and models for the understanding of biological processes. The starting point is often derived from our work in learning theory and algorithms with particular emphasis on the problems related to the role played by prior knowledge and the integration of data coming from different sources and contexts. Common trait of our efforts is a close collaboration with molecular biologists, geneticists, or clinicians interested in specific questions.
The main topics of our research are:

  • Reproducible results
  • Knowledge discovery from biological/clinical (structured) data
  • Determining gene signatures from high-throughput data
  • Prior Knowledge Integration in high-dimensional molecular data
  • Molecular characterization of neuro-degenerative diseases

Life is a DNA software system (Craig Venter)