shiny-dashboards-for-biomedical-research.md

talk_id	talk_slug	talk_type	talk_tags	session_slug	talk_title	talk_title_short	talk_materials_url	speakers
22121	shiny-dashboards-for-biomedical-research	regular	champion public-sector shiny	working-with-code	Shiny Dashboards for Biomedical Research Funding	Shiny Dashboards for Biomedical Research Funding		name affiliation url username photo bio Jon Nye National Institutes of Health webpage twitter github linkedin affiliation https://www.niaid.nih.gov/ jon_nye /assets/img/2022Conf/_talks/22121_jon-nye.png Jon Nye is a Lead Health Science Policy Analyst at the National Institute of Allergy and Infectious Diseases (NIAID) at the National Institutes of Health. He is currently part of the Data Analytics and Research Branch which focuses on data integration, visualization, and building tools to simplify business processes and promote data driven decision making. Jon received a BS in Genetics and Cell Biology from Washington State University and his PhD in Cellular and Molecular Medicine at the University of Arizona.

As a senior policy analyst at the National Institute of Allergy and Infectious Diseases at the National Institutes of Health, I am part of a diverse team that includes data analysts, scientists, and statisticians. Our goal is to help NIAID leadership gain insight from large amounts of data. In this talk I will discuss how my colleagues and I have used R Shiny to simplify business processes and promote data driven decision making. In light of the recent pandemic, and the ongoing threat of emerging infectious diseases, the ability to understand a complex research portfolio is increasingly important. I will highlight how we have used R Shiny to streamline workflows, enhance collaboration, and gain insight into these large complex datasets.