Conference on Parsimony and Learning (CPAL) - Addressing the low-dimensional structures in high-dimensional data that prevail in machine learning, signal processing, optimization, and beyond.

Hopkins BME is not only a great place to learn, it’s also a great place to work. Browse the listing of postdoctoral, research, and faculty openings.

BiGraph provides a new approach to risk stratification and biomarker discovery in a wide range of cancers. More generally, it demonstrates the potential of data-driven methods to uncover biologically ...

Johns Hopkins researchers used betting strategies to help clarify AI models’ decision-making processes.

Closed-loop neuroscience experimentation, where recorded neural activity is used to modify the experiment on-the-fly, is critical for deducing causal connections and optimizing experimental time. A cr...