News

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

Xu was recognized for her contributions to Bayesian methods and their impact on health, clinical research, and large-scale data analysis.

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.

The prestigious award honors exceptional STEM students nationwide, including a Johns Hopkins Applied Mathematics and Statistics undergraduate among this year’s honorees.

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. 

The William R. Kenan, Jr. Fund supports the adoption of innovative teaching methods—especially in undergraduate education—and has been re-envisioned by the Whiting School to help teaching and tenure-track faculty pursue research in engineering education. 

Wandelt studies the connection between data and theory to unlock the secrets of the universe.

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.