Faculty in the Statistical Learning and Data Science Hub advance statistical and machine learning methods tailored to the unique challenges of biomedical and epidemiologic data, including ...

In what way can we reduce misclassification bias in statistical learning so that we obtain more accurate classifier-based statistics? There are two conflicting developments that affect the field of ...

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 ...

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 ...

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 ...