The Data Science and AI Institute has selected two projects for its Data Science and AI Institute Demonstration Projects awards.
The Data Science and AI Institute Demonstration Projects Program aims to accelerate the development and deployment of data science and AI tools in critical applications. This program emphasizes translational efforts and turning scientific discoveries into practical solutions that improve the human condition.
These awards will provide support for long-term, high-impact projects that foster collaboration among researchers, engineers, clinicians, and potentially external partners.
“We are thrilled to announce the recipients of the 2025 Demonstration Projects awards,” says Natalia Trayanova, Murray B. Sachs Professor in the Department of Biomedical Engineering and director of health and medicine in the Data Science and AI Institute. “This program exemplifies our strong commitment to accelerating the integration of data science and AI tools into essential applications across the Johns Hopkins community. By fostering transformative collaborations, the chosen projects will catalyze significant advancements.”
2025 Data Science and AI Institute Demonstration Projects award recipients
Reliable AI Text Detection for Academia Using Style Representations Investigators:
Nicholas Andrews, Senior Research Scientist at the Human Language Technology Center of Excellence
Cristina Aggazzotti, Research Associate at the Human Language Technology Center of Excellence
Unique White Matter Lesion Tracking Algorithm as a Community Resource for Neurological Disorders
Investigators:
Jerry Prince, Professor in the Department of Electrical and Computer Engineering
Peter Calabresi, Professor in the Department of Neurology
Ellen Mowry, Professor in the Department of Neurology
Paul Nyquist, Professor in the Department of Neurology
Eric Mallack, Professor in the Department of Neurology
