Jennifer Marx is an R&D engineer and postdoctoral scientist with 11 years of experience translating molecular medicine into next-generation AAV gene therapies for hearing loss. Based at Hannover Medical School and recently joining MED-EL, she specializes in AAV capsid engineering and the intracellular infection biology of inner ear cells to improve delivery for inherited and acquired auditory disorders. Her background uniquely blends cell and gene therapy expertise (MSc, UCL; PhD work at MHH) with an engineering and industrial management degree, enabling her to navigate both lab discovery and commercialization pathways. She has hands-on experience building in vitro disease models and applying CRISPR tools from prior research training, and she mentors outreach programs teaching kids robotics and coding. Pragmatic and problem-focused—summed up on her GitHub as “I like to solve problems”—she aims to bridge academia and industry to bring cell and gene therapies to patients.
11 years of coding experience
Study Abroad, Logistics and Supply Chain Management, Study Abroad, Logistics and Supply Chain Management at Universitas Udayana
Bachelor of Science - BS, Biomedicine, Bachelor of Science - BS, Biomedicine at University of Skövde
University College London
Bachelor of Science - BS, Engineering/Industrial Management, Bachelor of Science - BS, Engineering/Industrial Management at University of Hamburg
Bachelor's degree, Biomedical Science, Bachelor's degree, Biomedical Science at King's College London
The Refinery Platform is a data management, analysis and visualization system for bioinformatics and computational biology applications. The platforms consists of three major components: a data repository with rich metadata capabilities, a workflow engine based on the popular Galaxy system, and visualization tools to support the exploration and interpretation of results at all stages of the analysis process.
Contributions:5 releases, 1739 commits, 1147 PRs in 4 years 5 months
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