Recent News
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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.
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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.
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First-year students in Applied Mathematics and Statistics receive Provost's Undergraduate Research Award (PURA)
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“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.
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A summer of service
CategoriesThe Community Impact Internships Program connects undergraduate students with local nonprofit organizations. Neal Lim, a rising sophomore, shares his experience.
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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.
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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.
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Kuleen Sasse '25, uses metaheuristics to estimate how a person could navigate the entire system in the shortest amount of time possible
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On Design Day, a team of undergraduate students determine malignant or benign breast cancer images using machine learning algorithms.