At MaSCle, we hope to build solutions to provide breakthrough solutions to the National Academy of Engineering’s proposed national challenges, including engineering better medicines, reverse engineering the brain, and improving advance health informatics.
To do so, we also are interested in fostering a more interdisciplinary environment for machine learning to exist in, as machine learning has many potential applications and will continue to grow as more researchers participate in the field. We also provide a number of machine learning-related courses held by our faculty to increase intra-school participation in machine learning. Class listings can be found here.