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Addison Schwamb joins the Computer Science Department as an Assistant Professor. Dr. Schwamb's research focuses on computational neuroscience - specifically, she aims to use dynamical systems and machine learning approaches to model individualized brain dynamics that vary over time. In particular, Dr. Schwamb focuses on developing these models for use in clinical settings, to assist clinicians in diagnosis, treatment, and understanding of neural pathologies. They have assisted in teaching an introductory course combining programming with linear algebra, as well as in developing an application-focused differential equations course.