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DTSTART;TZID=America/New_York:20230124T160000
DTEND;TZID=America/New_York:20230124T170000
DTSTAMP:20260423T100806
CREATED:20230110T143338Z
LAST-MODIFIED:20230110T144240Z
UID:10000354-1674576000-1674579600@www.med.unc.edu
SUMMARY:Faculty Candidate Seminar
DESCRIPTION:Presenter Christian Cuba-Samaniego\, PhD \nUniversity of California Los Angeles \nTalk Title: Adapting feedback control and pattern recognition paradigms for biotechnological applications \nEngineering 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.
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-seminar-13/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2023/01/Christian-Cuba-Samaniego.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
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