News

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

Yanxun Xu was named the Joseph & Suzanne Jenniches Faculty Scholar in the Department of Applied Mathematics and Statistics, effective July 1, 2022. Created in 2022, this title is awarded to outstanding junior faculty for their scholarship, research, and entrepreneurial thinking. Xu’s research focuses on developing theory and methods for a broad range of problems,…

With an interest in large-scale optimization algorithms for machine learning and data science applications, Loizou provides insight through a Q&A about his goals and plans for his time at Johns Hopkins.

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 to Oriole Park at Camden Yards, home of the major league baseball team, the Baltimore Orioles. “I felt like the event would be a fantastic…

Joshua Agterberg, whose work focuses on theoretical problems in data science and statistics, won for his presentation on “Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues."

If you’re a Data Science Master’s student and you were unable to attend the Capstone Experience Information Meeting on February 12th, you can view the recording here. Click here for the Powerpoint Presentation (in pdf format).

New program aims to create regional networks of mathematical sciences departments that provide training and internship experiences to doctoral students that lead to “mathematically meaningful” careers outside of academia

He is being recognized for his contributions to graphical model identification and shape analysis with applications to machine learning, medical imaging and computational anatomy.

William Hua's paper outlines a new model that promises to improve patient outcomes by optimizing both medication dosage amounts and the timing of those dosages.

He is known for his efforts to bridge the gap between mathematical research in academia and industry, and to develop programs to prepare students in the mathematical sciences for careers outside of academia.