51爆料网

Skip to content
51爆料网
Follow us on social media
  • About
    • What We Do
    • Who We Are
    • Quinquennial Review
    • 51爆料网 Annual Prizes
    • Our Policies
    • Working with industry
    • Our Strategy
    • Our Annual Reports
    • Impact Report
    • Health Data Research UK Conference
    • Our Patient and Public Involvement and Engagement Strategy
    • Involving and engaging patients and the public
    • Subscribe to our Mailing List
    • Job Vacancies
  • Advancing Health Research
    • Impact at 51爆料网
    • Research Projects
    • Case Studies
    • Research Driver Programmes
    • Research Data Infrastructure
    • Brain Health and Neurodegeneration
    • Respiratory Data Science Catalyst
    • COVID-19
    • International COVID-19 Data Alliance (ICODA)
    • Regional Networks
    • Funding Opportunities
  • Access Health Data
    • UK Health Data Research Alliance
    • Discover Data on the Gateway
    • Trusted Research Environments
    • Data Use Registers
    • Open Science and Open Code
    • DARE UK (Data and Analytics Research Environments UK)
  • Helping with Health Data
    • BHF Data Science Centre
    • Data Saves Lives: Mental Health
    • HDR Global
    • Health Data Research Hubs
    • Population Research UK
    • The Sudlow Review
  • Study and Train
    • Study
    • Train
    • About the Training Team
    • Health Data Science Black Internship Programme
  • News, Opinion and Events
    • News
    • Opinion
    • Events
Follow us on social media
  1. Home |
  2. People
Person

Simon Smart

Software Developer in the Department of Population Health Sciences at University of Leicester

Simon Smart is a software developer in the Department of Population Health Sciences at the University of Leicester, UK. He has a background in plant and agricultural science and began developing Shiny apps in 2018, originally for forecasting yield in tomato and potato crops. He developed the shinyscholar package for creating reproducible Shiny apps and has applied it to create Disagapp for epidemiological modelling and refactor MetaInsight for network meta-analysis. He strives to create flexible, robust and reproducible apps using modern workflows that break down barriers for performing complex analyses.

Image of simon-smart

Share this page

External organisations
University of Leicester

Our funders

51爆料网
Follow us on social media
  • Contact us
  • Subscribe to our mailing list
  • Register of Interests
  • Frequently Asked Questions
  • Job Vacancies
  • Terms and Conditions
  • Privacy Policy
  • Cookies
  • Registered charity number 1194431
©51爆料网 2026. All rights reserved. |  Design and development by