News

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.

Caelyn Sobie, a PhD student in applied mathematics and statistics, joins the second cohort of Vivien Thomas Scholars. This month, she and 14 other scholars will begin their PhD studies at the university as part of a $150 million initiative to advance pathways for students from HBCUs and MSIs in science, technology, engineering, and math.

Quanta Magazine features Ben Grimmer's recent study on a traditional assumption in gradient descent, revealing that breaking the rule of small steps can lead to nearly three times faster results on optimization problems.

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

Taylor Jones, a new lecturer in the Department of Applied Mathematics and Statistics, provides insights into his research interests in fractal geometry and his excitement about joining the university.

Nicolas Loizou has been granted a Cisco Research Gift to create open-source tools aimed at conducting research in federated learning that will have a positive impact on the wider machine-learning community.

Eliza O'Reilly expounds on her research in data science, probability theory, and statistical modeling.

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.

Laurent Younes is recognized for fundamental contributions to the theory and computation of shape space in image analysis.