News

Johns Hopkins undergraduate Talia Hovsepian is taking a gap year in England to work as a data scientist for Racing Bulls.

Applied Mathematics and Statistics student Adam Tobin-Williams ’26 bridges engineering and mathematics to solve real-world problems. 

Applied Mathematics and Statistics researchers will present their work spanning theoretical optimization to advanced machine learning models at NeurIPS 2025.

From entertainment to healthcare, Data Science student Chloe Dearman ’25 turns analytics into impact. 

Seven JHU doctoral candidates studying machine learning, computer vision, and natural language processing received two-year fellowships through the new program, including two students from the Applied Mathematics and Statistics Department.

Dredze, a member of JHU's faculty since 2009, selected to lead institute dedicated to harnessing the power of artificial intelligence to translate data-driven discovery into real-world impact

As co-organizer of a new NSF-sponsored white paper, Soledad Villar joined researchers across the U.S. to outline how AI can advance mathematics, physics, chemistry, astronomy, and more.

Johns Hopkins researchers unlock hidden patterns to help AI recognize images with far less training data.

Johns Hopkins scientists develop method to render Earth-based images as clear as those taken from space.

The award recognized his innovative work on long-step gradient descent and its implications for modern optimization theory.

Johns Hopkins  mathematician develops a practical way to incorporate the well-known Samuelson effect into the pricing of commodity derivatives.

Johns Hopkins team uses computer simulations to find the optimal level of disorder for light-manipulating devices.