News

Mateo Díaz and Soledad Villar from the Department of Applied Mathematics and Statistics are among the 126 scholars selected for the prestigious fellowship.

Co-founder of Nomic AI, Brandon Duderstadt, Engr ’18,’19 (MSE) has produced some of the world’s most popular AI products.

A machine learning approach mimics real-world, act-at-the-moment choices to improve timing, reduce costs, and adapt to changing demand.

From the spark of a child’s curiosity to the abstractions of hyper-real numbers, Ed Scheinerman’s book shows that infinity isn’t something to fear—it’s a playground for the human mind, a place where numbers, imagination, and discovery intersect.

Alden Green, a new faculty member, discusses his research and decision to join JHU's growing data science community.

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.