Dr. Claudia Plant is with the German Research Center for Environmental Health, and she is leading the group on Integrative Knowledge Discovery in Databases. The major goal of her research group iKDD is to support life science applications with KDD techniques in order to obtain a comprehensive view on complex lifestyle-related diseases like Diabetes and Alzheimer. The group also contributes to research on parameter-free data mining and on high-performance data mining for massive data. Most of the approaches rely on an information-theoretic perspective relating data mining to data compression: Data mining techniques detect patterns and regularities ideally condensing the data to the most relevant aspects. The more effectively the detected pattens compress the data, the more relevant information we have learned.