About us

We focus on data-driven bioinformatics: creating algorithms to infer and exploit simple models of complex interactions, by coupling biological insights and available prior knowledge to high-throughput measurements. Our core expertise is in machine learning and pattern recognition. Major application areas are in medicine, trying to understand the biology underlying genetic diseases such as cancer and aging; and in biotechnology, engineering industrially relevant microorganisms. Please check our recent research highlights or our full list of publications for more information.