Maria Molina and Chris Metzler are developing novel AI-based approaches that can help address systemic inequities and improve the lives of populations that are vulnerable to extreme weather events.

The cross-institutional project, which uses machine learning to analyze wearable sensor data, could lead to more accurate and earlier diagnoses of people suffering from Parkinson’s.

Mostafa Ghanem is using new genomic tools to improve our understanding and the prevention of infectious poultry diseases.

Five emerging scholars traveled to College Park to present their research and connect with UMD’s machine learning community, with one researcher joining virtually.

Nicole Yunger Halpern is part of a team that’s developed a new technique that can reset qubits in quantum computers highly effectively, a critical task for successful quantum computing.

He is profiled in a feature article published by the National Institute of Standards and Technology.