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Stephany Duda
Simon Mallal

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Stephany N. Duda, PhD

Associate Professor of Biomedical Informatics, Vanderbilt University

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Biography

Biography

Dr. Duda is an Associate Professor of Biomedical Informatics in the School of Medicine at Vanderbilt University. Her work focuses on clinical research informatics and global health informatics, particularly issues in data capture, data quality, and international observational databases. Over the past several years, Dr. Duda has (in association with Dr. Paul Harris and Dr. Firas Wehbe) led the development and a highly popular Coursera course on Data Management for Clinical Research.

Dr. Duda received her BS in computer science from Princeton University and her MS and PhD in biomedical informatics from Vanderbilt University.

More About Stephany N. Duda, PhD

I am an Associate Professor in the Vanderbilt Department of Biomedical Informatics and have served as the Associate Director of our TN-CFAR Data Sciences Core during the past funding cycle. Within our CFAR Core, I support investigators in designing data collection workflows, accessing and leveraging institutional and other data repositories, harmonizing data across institutions, ensuring data privacy and protections, and engaging with cross-institutional informatics expertise and resources. I also led the technical development of our CFAR Data Dashboard system. At Vanderbilt, I am the associate director of the Office of Research Informatics and a member of the development team for the web-based “Research Electronic Data Capture” (REDCap) software. REDCap was invented at Vanderbilt University and is used by over 3,500 U.S.-based and international organizations. I’ve also been deeply involved in educational initiatives, including teaching a massively open online course (MOOC) on “Data Management for Clinical Research” to over 70,000 students worldwide. My own work is centered on issues of data harmonization and data quality in global health and HIV research. I have twelve years’ experience working with the International Epidemiology Databases to Evaluate AIDS (IeDEA) and other HIV research networks. I have faced challenges of building robust, high quality datasets, harmonizing disparate data sources, and overseeing data management at geographically distant sites. Through NIAID-funded research initiatives, I have studied approaches to measuring data quality in observational HIV research networks, directed 36 data quality monitoring audits, and developed tools and methods that improve and enhance the operations and data activities of research networks. My prior projects and experience in HIV research informatics have prepared me to support the activities of our CFAR Data Sciences Core. I serve as the Associate Director of the TN-CFAR Data Sciences Core.

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