Statistical Sciences (Statistics and Biostatistics): robustness, theory (& applications) of statistical distances, mixture models, model assessment, classification & clustering, machine learning, kernel methods, foundations of data science. Interdisciplinary: text mining, biomedical informatics, safety of medical products, data science methods.