Dr. Bo-Wen Shen holds the position of Associate Professor in the Department of Mathematics and Statistics at San Diego State University (SDSU). His academic journey includes earning a Ph.D. from North Carolina State University in 1998. Over his career spanning more than 25 years, he has accumulated expertise in various areas such as mesoscale/global modeling, high-performance computing, the application of models in numerical weather prediction, and nonlinear dynamics. He has published more than 50 refereed journal articles and more than 50 technical or conference reports. He was appointed to 5 journal editorial boards internationally. Dr. Shen joined the modeling team at the NASA Goddard Space Flight Center (GSFC) in 1999, where he contributed to the development of a unified weather and climate model. During his earlier career at GSFC, he and his colleagues successfully utilized a global mesoscale model for real-time hurricane prediction, receiving recognition in notable publications like the American Geophysical Union, Science, and other media outlets. Between 2009 and 2015, Dr. Shen assumed the role of principal investigator for NASA's CAMVis (Coupled Advanced global Modeling and concurrent Visualization systems) projects. During this time, he led initiatives to enhance the computational efficiency of the Goddard Multiscale Modeling Framework (MMF) and introduced three-level parallelism to the ensemble Empirical Mode Decomposition (EMD). In 2011, Dr. Shen shifted his focus to nonlinear dynamics and chaos theory, aiming to gain insights into the predictability of high-resolution global model simulations. His journey led him to join the faculty at SDSU in 2014. Since then, he has authored significant publications, including the development of a generalized Lorenz model. He and his co-authors presented a revised perspective on the dual nature of weather. This fresh perspective challenges the conventional notion that "weather is chaotic." (Link)