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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)

Undergraduate and member of the Hopkins Baseball Scheduling Research Team uses MATLAB to optimize and submit baseball game schedules to the Frontier League.

“Membership is confidential, so students don’t have to worry about revealing their identity if they’re not out yet. For me, it’s a safe space where I can totally be myself, within my nonbinary identity, and everyone’s okay with that,” said Ambrosius.

The Community Impact Internships Program connects undergraduate students with local nonprofit organizations. Neal Lim, a rising sophomore, shares his experience.

Faculty, postdoctoral fellow, and PhD candidate in the department will present their accepted publications at the 2022 Neural Information Processing Systems (NeurIPS) conference.

Benjamin Grimmer, an assistant professor in the department of applied mathematics and statistics, uses 3-dimensional printing to enhance student learning and experience during lectures.

Students from across the country learned to use data science to address topics ranging from gerrymandered voting districts to transit equity during “Data Science for Democracy,” a workshop co-sponsored by the Department of Applied Mathematics and Statistics (AMS) and the SNF Agora Institute earlier this summer.

Kuleen Sasse '25, uses metaheuristics to estimate how a person could navigate the entire system in the shortest amount of time possible

On Design Day, a team of undergraduate students determine malignant or benign breast cancer images using machine learning algorithms.

Nadejda ‘Nadia’ Drenska, a postdoctoral fellow, recently took the initiative to gather faculty, staff, PhD students, and postdoctoral fellows from the Department of Applied Mathematics and Statistics in an outing…