News

Johns Hopkins team develops a dimension-agnostic method for machine learning.

In a Q&A session, new assistant professor Haoyang Cao shares her expertise in utilizing machine learning to tackle high-dimensional stochastic games involving large populations.

Johns Hopkins team develops a way to personalize antiretroviral therapy to reduce side effects.

Assistant professor Soledad Villar has been honored with the CAREER Award from the National Science Foundation.

Graduate students in Applied Mathematics and Statistics receive 2024 Student Paper Award.

3D printed objects help students visualize complex concepts.

Luana Ruiz, a mathematician at Johns Hopkins, leads team in efficient and cost-effective approach for graph neural networks, unveiling a novel method to teach computers with small data samples.

Approach promises to improve accuracy of celestial object matching.

A PhD student in the department has been granted CPAL's Rising Star award, recognizing promising doctoral students, new faculty, and young industry researchers.

Whiting School of Engineering graduates Mike Snyder '19 and Ashwin Pasupathy '23 have applied their math and analytics backgrounds behind the scenes for the playoff-bound Baltimore Orioles as the organization embraces a data-driven approach to the game.

Innovative new method could make computer calculations more efficient.

Mateo Díaz, new assistant professor in the Department of Mathematics and Statistics at Johns Hopkins, discusses his background, research interests, and enthusiasm for joining the university. Originally from Colombia, Díaz's research focuses on the intersection of continuous optimization, geometry, and statistics, with applications in data science and machine learning. In this Q&A, he shares insights into his research, real-world applications, and what drew him to this field.