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Professor Marzen published the following articles: · “Prediction and Dissipation in Nonequilibrium Molecular Sensors: Conditionally Markovian Channels Driven by Memoryful Environments,” Bulletin of Mathematical Biology, Volume 82, Article number: 25 (2020); https://link.springer.com/article/10.1007/s11538-020-00694-2 · Uppal, V. Ferdinand, and S. Marzen. “Inferring an observer’s strategy in sequence learning experiments”, Entropy 22(8), 896 (2020). Chosen as a Featured Article for a Special Issue on Social Processes; https://www.mdpi.com/1099-4300/22/8/896 · M. Razo-Mejia, S. Marzen, G. Chure, R. Taubman, M. Morrison, and R. Phillips. “First-principles prediction of the information processing capacity of a simple genetic circuit”, Physical Review E 102, 022404 (2020). Chosen as an Editor’s Suggestion. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.102.022404
She presented the following talks: · “New Methods for Continuous-time, Discrete-event Prediction” at Singapore’s Nanyang Technological University, Workshop on Agency; · “How Can We Predict Efficiently?” at an Okinawa Institute of Technology Seminar; · “Using Lossy Representations to Understand the Neural Code” at the Organization for Computational Neuroscience’s Information Theory Workshop; · “How Can We Predict Efficiently?” at a University of California San Diego seminar.
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