David Garrett

CFO at iECURE

David Garrett joins iECURE from Dynacure, where he served as chief financial officer and managed a successful Series C raise of €58 million and led its IPO process. Previously, he held various roles at Nabriva Therapeutics, including vice president, corporate controller and head of investor relations and senior director, business planning and analysis. At Nabriva, Mr. Garrett led all Wall Street-facing activities, completed over $150 million in equity capital raises and oversaw all SEC reporting and compliance functions. He was also responsible for leading Nabriva’s redomicile from Austria to Ireland. Prior to Nabriva, Mr. Garrett held senior-level finance roles at Covis Pharmaceuticals, Auxilium Pharmaceuticals and ViroPharma and was a manager at KPMG. Mr. Garrett received an MBA and B.S. in accountancy from Villanova University and is a certified public accountant in Pennsylvania.

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Greenfields, United States

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iECURE

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iECURE is a gene editing company focused on developing therapies that utilize mutation-agnostic in vivo gene insertion, or knock-in, editing for the treatment of liver disorders with significant unmet need. We believe our approach has the potential to replace and restore the function of a dysfunctional gene by knocking-in a healthy copy, regardless of mutation, to offer durable gene expression and long-term, potentially curative, therapeutic benefit. Our management team has extensive experience in executing global orphan drug and gene therapy clinical trials and successfully commercializing multiple products. We intend to leverage our team’s core strength in research and development strategy to identify what we believe to be the most suitable target and modality for our product candidates to address particular liver diseases. We are collaborating with the University of Pennsylvania’s Gene Therapy Program, or GTP, led by James M. Wilson, M.D., Ph.D., to utilize GTP’s world-class translational expertise and infrastructure, which has helped generate our initial pipeline of potential product candidates.


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11-50

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