Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

The deep learning revolution has ushered in a new generation of machine learning tools capable of identifying the patterns in massive noisy datasets with accuracy that often exceeds that of human ...

Deep Human Biology Learning (DHBL) is a unique approach to oncology & neurology research. Through cross-disciplinary collaboration, drug discovery is accelerated, leading to faster development of ...

The debate over online versus in-person classroom learning in K-12 education rages on, driven by concerns over student engagement, academic performance, and social-emotional development. Advocates of ...