Ana V.
About Ana V.
Ana V. is a Process Development Scientist with a strong background in biochemical engineering and data management. She has held various academic and research positions, including roles at UCL and EPFL, and currently works at MeiraGTx, focusing on laboratory automation and high-throughput methodologies in gene therapy.
Work at MeiraGTx
Ana V. has been employed at MeiraGTx as a Process Development Scientist since 2019. In this role, she focuses on data management and processing, contributing to advancements in gene therapy. Her expertise in laboratory automation strategies enhances analytical development within the organization.
Education and Expertise
Ana V. holds an Integrated Master in Biological Engineering from Instituto Superior Técnico, which she completed from 2010 to 2015. She furthered her education at University College London (UCL), where she earned a Master's Degree in Biochemical Engineering in 2015 and a Doctor of Philosophy (PhD) in Biochemical Engineering from 2015 to 2019. Her academic background supports her specialization in laboratory automation and high-throughput methodologies.
Background
Ana V. began her academic journey at Instituto Superior Técnico, studying Biological Engineering from 2010 to 2015. She then transitioned to UCL, where she engaged in various roles, including Post Graduate Teaching Assistant and Undergraduate Researcher. Additionally, she served as a Visiting PhD Student at École polytechnique fédérale de Lausanne (EPFL) for four months in 2017, enhancing her international experience.
Previous Experience
Before her current position at MeiraGTx, Ana V. gained valuable experience in various roles. She worked as a Research Intern at iBET - Instituto de Biologia Experimental e Tecnológica in 2014. Additionally, she served as a Post Graduate Teaching Assistant at UCL from 2015 to 2018, where she supported the academic development of undergraduate students.
Specialization in Gene Therapy
Ana V. specializes in laboratory automation strategies for analytical development within the gene therapy field. Her work emphasizes high-throughput methodologies and the application of data science, reflecting her keen interest in improving processes and outcomes in biotechnological research.