Research in the RLE Computational Biophysics Group is focused on three areas: 1) Understanding conformational changes in biomolecules that play an important role in common human diseases, 2) Using machine learning to develop models that identify patients at high risk of adverse clinical events, and 3) Developing new methods to discover optimal treatment strategies for high risk patients.  The group uses an interdisciplinary approach combining computational modeling and machine learning to accomplish these tasks.