Machine learning as an assay for high-dimensional biology

Dr. Sara Mostafavi will present machine learning approaches recently developed by her lab for leveraging heterogeneous data and prior knowledge to guide discovery of meaningful biological structure. In particular, she will first describe her deep learning approach (AI-TAC) to combining a large compendium of epigenomic data, in order to learn the relationship between non-coding sequence and regulatory activity across the immune system.