Alumni

Brandon is a postdoc working with Professor Georgy Manucharyan at the University of  Washington. At UNH he worked with Professor Greg Chini and his dissertation focused on a new large-Reynolds number asymptotic analysis of the Navier-Stokes equations, defining a new multiple spatial scale self-sustaining process for observed structures in the instantaneous velocity profile.  At the University of Washington, his research utilizes applied mathematics to investigate the underlying physics of arctic sea ice. The multi-scale nature of sea ice presents a challenge for developing realistic models capable of simulating individual floes and fractures. Brandon is currently part of a multi-university research initiative whose overarching goal is to develop an improved mathematical framework for sea ice prediction from synoptic to pan-Arctic scales, which will fill the gap in their quantitative understanding of its evolution as a multiscale medium.  Thus enabling the development of the next-generation sea ice prediction systems. Brandon’s part of this project is creating a sea ice model utilizing a discrete element method to resolve interactions and phenomena at the floe-scale.   Outside of school, Brandon enjoys taking advantage of the extensive wilderness in the Pacific northwest through skiing, hiking and trail running.  

Baole Wen is an assistant professor in the Department of Mathematics. Before joining New York Institute of Technology in 2022, he had been a postdoctoral assistant professor of mathematics at the University of Michigan and a Postdoctoral Fellow in the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. Baole received his Ph.D. in Applied Mathematics from the University of New Hampshire in 2015. His research advisor at UNH was Prof. Greg Chini.

His Ph.D. research was focused on understanding the underlying flow and transport mechanisms governing the spatiotemporally-chaotic system of porous medium convection at large Rayleigh numbers. He obtained a master's degree in fluid mechanics and a bachelor's degree in engineering mechanics from Beijing University of Aeronautics and Astronautics in 2010 and 2007, respectively.

Baole's research interests cover broad areas of applied and computational mathematics, including fluid mechanics, mathematical modeling, PDE-constrained optimization, scientific computing, model order reduction, efficient numerical algorithms, and pattern formation and nonlinear dynamics in high-dimensional spatiotemporal dynamical systems. To conduct his research, Baole employs direct numerical simulations, high-performance computing, variational and stability analyses, optimization, dynamical system theory, and experimental validation.