Camelia Shanahan, PhD
About Camelia Shanahan, PhD
Camelia Shanahan, PhD, is an R&D Engineer with extensive experience in biomedical engineering and medical device development. She holds a Ph.D. in Bioengineering and Biomedical Engineering and has a diverse academic background in textile engineering and computer science.
Work at SurModics
Camelia Shanahan has been employed as an R and D Engineer at SurModics since 2017. Her role involves contributing to the development of medical devices, utilizing her expertise in manufacturing technologies and product design. SurModics is known for its focus on providing innovative solutions in the medical device industry, and Shanahan's work supports this mission through her engineering skills.
Education and Expertise
Camelia Shanahan holds a Doctor of Philosophy (Ph.D.) in Bioengineering and Biomedical Engineering from the University of Limerick, which she completed from 2014 to 2017. She also earned a BSc Hons in Textile Engineering from Gheorghe Asachi Technical University of Iași and a BSc Hons in Software Development from LIT Tipperary. Her dual academic background in textile engineering and computer science informs her research in stenting technologies and biotextile structures.
Background
Shanahan's educational journey began at National College 'Gheorghe Sincai', where she studied Mathematics from 1983 to 1986. She transitioned to Gheorghe Asachi Technical University of Iași, studying Knitting and Clothing Technology from 1986 to 1991. Her diverse background has equipped her with a unique perspective in the fields of engineering and technology, particularly in the medical devices sector.
Achievements
Camelia Shanahan has extensive experience in the medical devices industry, particularly in biomedical engineering. She has worked at Abbott as a Senior R and D Engineer since 2018, where she applies her skills in software development, including Java, Python, MatLab, and R. Her specialization in finite element analysis (FEA) and 3D modeling enhances her ability to simulate and optimize medical device designs.