Eva Campo
Adjunct Professor at University Of Maryland
Based in Washington, United States
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Seniority
Staff
Department
Education
Location
Washington
Industry
Higher Education
Company size
22K
Contact information
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e•••••••@umd.edu
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Background
About Eva Campo
I am an experienced scientist with a demonstrated history of working in the higher education industry and strong skills in Materials Science, Physics, and Nanomaterials. I earned my MS in Theoretical Physics from Universidad Complutense in Madrid and my PhD in Materials Science and Engineering from Lehigh University in Pennsylvania. Throughout my career I have seen how the scientific community can participate in and help shape global politics and I believe in the power of science and education to create a better world. I have served as a Program Director in the Division of Materials Research (DMR) at the National Science Foundation. In this role, I led the DMR Data Working Group, building community around 2Dimensional Materials and microstructure research. I also played an instrumental role in building the Materials Research Data Alliance which aims to solidify and integrate data repositories for materials research in order to advance the goals of the Materials Genome Initiative. I am the founder of Laboratory for Matter Dynamics and an Adjunct Professor at the University of Maryland. Previously I have served in the faculties of Wales (UK) and Barcelona (Spain) as the lead of the Nano-Opto-Mechanical Systems (NOMS) project (NMP-22896), and as a reviewer in several FP7 calls in the European Union. In 2020, I launched Campstella Research & Consulting with the goal of leveraging all of my career experience, affiliations and relationships to resource the research data revolution that absolutely needs to be at the helm in order to break new ground and create transformation worldwide. CampoStella R+C’s services are focused on providing the resources that will develop and cement open data policies and practices that facilitate interdisciplinary research, enable discoveries at the intersections of disparate data assets, build diversity, create a circular economy, and minimize the opportunity gap among researchers — all of which are necessary for realizing the most positive future possible for us all.
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