Finding Waldo - Transformation of Unwieldy Data into Information with R by Danielle Larese & Selen Stromgren
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Abstract: Transforming data into information requires use of versatile and accessible tools such as R-Studio and is a key step to support decision-making via accurate trend identification and fact finding. This talk will demonstrate applications of R to perform data analysis and visualization on various data sets at FDA’s Office of Regulatory Affairs and discuss the current focus at the agency on building a workforce proficient in data science tools such as R.
Bio: Danielle Larese has B.S. degrees from Michigan State University in chemical physics and mathematics. She received a PhD in theoretical physical chemistry from Yale University, where her work demonstrated the applicability of discrete, molecular-symmetry-based algebras as a basis for modeling vibrational and rotational energy levels for small molecules. After completing her PhD, she joined the US Food and Drug Administration (FDA) in 2015 as a research fellow in the Office of Regulatory Affairs (ORA). Her research focused on developing a mathematical model of radionuclide contamination of foods and food packaging. In 2018 Danielle transferred to the newly-created ORA office overseeing laboratory research as a scientific coordinator.
Bio: Selen Stromgren joined FDA in late 2008. She started her FDA career as a regulatory chemist with Office of Regulatory Affairs’ (ORA) Division of Field Science. In 2012 her division was re‐structured into ORA’s Office of Regulatory Science where Selen still remains as an Associate Director providing scientific leadership to ORA’s national laboratories. Prior to coming to FDA, Selen was a senior scientist at a biotechnology company for seven years where she worked on developing biomarker assays using the company’s patented electrochemiluminescence detection platform. Selen graduated Summa Cum Laude from Knox College with a double B. A. degree in chemistry and mathematics. Selen holds a PhD in physical chemistry from Massachusetts Institute of Technology. Selen is a co-inventee on two US patents, is a lead author on several scientific publications, and a co-author of a book on probability and statistics.
Twitter: / us_fda
Presented at the 2022 Government & Public Sector R Conference (December 1, 2022)