News

 Undergraduate Andy Wang develops a statistical method to better measure uncertainty in motion tracking .

For her Design Day project, a Johns Hopkins student examines how conflict, deforestation, and governance intersect to shape human trafficking networks. 

Applied mathematics and statistics faculty and students help lead conversations on advancing women in artificial intelligence.

First-year applied mathematics and statistics student Reba Prabhakhar will help sift through crowdsourced telescope videos of the moon being hit by meteoroids for Impact Flash!, one of NASA's 32 Citizen Science research projects.

Applied Mathematics and Statistics PhD students develop tools that turn published clinical trial figures into actionable patient-level data for drug development. 

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.

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