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Faculty Candidate Seminar
January 24 @ 4:00 pm - 5:00 pm
Presenter Christian Cuba-Samaniego, PhD
University of California Los Angeles
Talk Title: Adapting feedback control and pattern recognition paradigms for biotechnological applications
Engineering synthetic networks with desired behavior for robust adaptation or complex decision-making is challenging. Current approaches rely on different negative regulation techniques or logic-based operators, which suffer from suboptimal performance. To address this limitation, we introduce two design principles: (1) ultrasensitive input-output behavior and (2) tunable thresholds. Here, we engineer ultrasensitive-based networks to both achieve adaptive behavior through feedback control and build synthetic programs for molecular pattern recognition by implementing neural computing networks in living cells.