Our faculty engages in research in a range of areas from applied and algorithmic problems to the study of fundamental mathematical questions. By its nature, our work is and always has been inter- and multi-disciplinary. Among the research areas represented in the Division are dynamical systems and partial differential equations, control theory, probability and stochastic processes, numerical analysis and scientific computing, fluid mechanics, computational molecular biology, statistics, and pattern theory.
Assistant Professor of Applied Mathematics at Brown University, Brendan Keith, is breathing new life into old math. He is trying to update vintage techniques with a method he names proximal Galerkin. Known as finite element methods, assist researchers like Keith to predict how objects might behave in different environments.
The Association for Women in Mathematics is pleased to announce that the 2024 Alice T. Schafer Prize for Excellence in Mathematics will be awarded to Zoë Batterman, a senior mathematics and statistics major at Pomona College and Arianna Meenakshi (Meenakshi) McNamara, a senior mathematics and physics major at Purdue University. Mattie Ji, a senior at Brown University majoring in Mathematics-Computer Science and Applied Mathematics has been named as Runner-up.
The awards will be presented during the Joint Prize Session on Wednesday, January 3, 2024 at the Joint Mathematics Meetings in San Francisco. A full press release is posted here: https://awm-math.org/wp-content/uploads/2023/11/PR-Schafer-2024.pdf. The full citations of the selection committee along with responses from the winners are posted here: https://awm-math.org/awards/schafer-prize-for-undergraduates/schafer-prize-2024/.
In 1990, the Executive Committee of the AWM established the annual Alice T. Schafer Prize for Excellence in Mathematics by an Undergraduate Woman. The prize is named for Alice T. Schafer (1915–2009), one of the founders of AWM and its second president, who contributed greatly to women in mathematics throughout her career.
At Brown, Keith leads a research team using numerical analysis and optimization principles to develop computer algorithms and data-driven mathematical models. He uses these tools, or numerical methods, to tackle challenging engineering problems written as partial differential equations, which are equations used to model physical systems mathematically and whose solutions lie in the infinite-dimensional spaces of functions.