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  <title><![CDATA[BioE PhD Proposal Presentation-  Glory Onajobi-Lee]]></title>
  <body><![CDATA[<p>&nbsp;</p><p><strong>Advisor:&nbsp;</strong>Corey J. Wilson, Ph.D. (School of Chemical and Biomolecular Engineering, Georgia Tech)</p><p><strong>Committee Members:</strong></p><p>John J. Blazeck, Ph.D. (School of Chemical and Biomolecular Engineering, Georgia Institute of Technology)</p><p>Matthew J. Realff, Ph.D. (School of Chemical and Biomolecular Engineering, Georgia Institute of Technology)</p><p>Karmella Haynes, Ph.D. (Department of Biomedical Engineering, Emory University)</p><p>Thomas J. DiChristina, Ph.D. (School of Biological Sciences, Georgia Institute of Technology)&nbsp;</p><p><strong>Expanding Transcriptional Programming Wetware and Biocomputing Capacity</strong></p><p>Synthetic biology aims to engineer cells with programmable behaviors by designing gene circuits that process information and respond to environmental cues. This thesis advances the Transcriptional Programming (T-Pro) platform through the development of novel anti-repressor biosensors and related software to enable scalable biocomputing capacity. In <strong>Aim 1</strong>, novel anti-repressor variants from the LacI/GalR family will be engineered to expand the regulatory toolkit available for constructing modular and orthogonal gene circuits. <strong>Aim 2</strong>&nbsp;will&nbsp;focus on the development of a computational framework for designing compressed higher-order genetic circuits that leverage anti-repressor biosensors developed in <strong>Aim 1</strong>. The envisioned software will translate user-defined multi-input truth tables into compressed circuit architectures for &gt;3-input Boolean operations. <strong>Aim 3</strong>&nbsp;will apply the resulting wetware toward the development of novel biological security systems. Collectively, this work will increase T-Pro’s biocomputing capacity and enhance wetware applications in the context of biocontainment.</p>]]></body>
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