As the newest member of the Applied Machine Learning team based in Boston Sara is excited to meet with you and brainstorm to define projects and form collaborations. She is a Bioinformatics and Computational Medicine researcher, expert in integration, analysis, visualization, and interpretation of (pre)clinical and high-throughput data. Her work involves developing algorithms to apply machine learning, heterogeneous data integration, and, 'omic' data and sizeable networks analysis to study complex genetic diseases (e.g., cancer and autoimmune disease), therapeutics response prediction, and computational functional genomics. Sara has over fifteen years of experience working and presenting in highly multidisciplinary teams of MDs, computational scientists, and biologists., and, writing articles and grant applications.