News

Adrian Severino and the Miraheart Team leverage light and simulation to revolutionize infant heart monitoring.

Engineering student’s model could give faster turns the green light.

Now leading research at Pink AI, student discovered the power of mathematics as an undergraduate.

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

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.

Post-doctoral fellows share their experiences in the department and discuss their future plans as they transition to tenure-track positions.

A recent graduate delves into the issue of high-temperature cooking in commercial kitchens, which can result in exposure to harmful pollutants leading to inflammation in the brain and damage to brain cells. For his senior design day project, his team explored the efficiency of different types of masks in minimizing exposure to these pollutants.

Three undergraduate students who created a new tool that promises to make the process of “proofreading” maps of the connections between brain cells more accurate and efficient earned a 2023…

Students studying applied mathematics and statistics create tools to aid a major Baltimore food distribution program for those in need. The community-based learning course, created by Fadil Santosa, is helping Bmore Community Food cater to more individuals in the city, giving the students hands-on experience in confronting the predicament of food insecurity in Baltimore.

Joshua Agterberg, a PhD candidate in the Department of Applied Mathematics and Statistics, and his team develop a new method for analyzing complex multilayer network datasets. Their "multilayer degree-corrected stochastic blockmodel" efficiently identifies patterns in those networks, paving the way for a better understanding of multilayer and high-dimensional networks.

First-year students in Applied Mathematics and Statistics receive Provost's Undergraduate Research Award (PURA)