Lauren Gardner (scientist)

Lauren Marie Gardner is an American engineer who is an associate professor and co-director of the Center for Systems Science and Engineering at Johns Hopkins University. She created the Johns Hopkins University dashboard that is used to share information about the COVID-19 pandemic.[1]

Lauren Marie Gardner
Alma materUniversity of Texas at Austin
Scientific career
InstitutionsUniversity of New South Wales
Johns Hopkins University
ThesisNetwork based prediction models for coupled transportation-epidemiological systems (2011)

Gardner was included in Time magazine 's 100 Most Influential People of 2020.[2]

Early life and education

In 2006, Gardner received a B.S.Arch.E. in architectural engineering from the University of Texas at Austin.[3] In 2008, she received an M.S.E. in civil engineering, also from UT-Austin.[4] In 2011, Gardner earned her PhD in Transportation Engineering from the University of Texas at Austin.[4] Her dissertation was on the topic of Network Prediction Models for Coupled Transportation-Epidemiological Systems.[5]

Research and career

In 2011, Gardner was appointed a lecturer at the University of New South Wales (UNSW). She was a member of the UNSW Research Centre for Integrated Transport Innovation.[6] This team coined the phrase “bio-secure mobility” to describe the new line of research pursued by Gardner.[7] In summary, Gardner explores how people and things moving around our globalised world spread infectious disease. Her research considers the relationship between epidemiology and transport, making use of network optimisation to describe the spread of disease.[8]

She looked to avoid pandemics by identifying high-risk shipping and air traffic routes.[6][9] She worked on a computer model that could help government officials in the United States better assess which passengers are likely to suffer from infectious disease and virus outbreaks, and to help them decide where and when to screen passengers.[10] Her models make use of air travel data, the suitability of habitats to vectors, the local transmission of a virus and passenger air travel data.[8] She used the model to analyse the 2015–16 Zika virus epidemic in the Americas.[8]

During this same time, Gardner was a research fellow with the Australian Government's National Health and Medical Research Council (NHMRC) Centres of Research Excellence (CRE) in Population Health Research at the School of Public Health and Community Medicine at the University of Melbourne.[3]

In 2019, Gardner moved back to United States to work at Johns Hopkins University, where she serves as Associate Professor and Co-Director of the Center for Systems Science and Engineering.[11] Here she has studied the United States counties that are most at risk of measles outbreaks.[12] Her analysis concluded that Los Angeles, King County, Washington and Miami-Dade County, Florida were most likely to suffer a measles outbreak .[12]

During the COVID-19 pandemic, Gardner recognised that the public, researchers and health authorities needed clear, accessible and up-to-date information.[13] Gardner and her first-year graduate student, Ensheng Dong, created an interactive dashboard that debuted on January 22, 2020.[14][15][16] During March 2020, the platform was accessed 1.2 billion times per day.[14] In 2020 Gardner briefed the United States Congress on the COVID-19 pandemic in the United States.[17]

Honors

  • 2006-2010: Engineering Thrust Fellowship[4]
  • 2008, 2009, 2010: Eisenhower Transportation Fellowship[18]
  • 2010: Robert Herman Endowed Scholarship[4]
  • 2010: WTS Heart of Texas Chapter Scholarship for the Helene M. Overly Memorial Scholarship[4]
  • 2012: UNSW Sydney, Staff Excellence Award[4]
  • 2020 Gardner was on the list of the BBC's 100 Women announced on 23 November 2020.[19]

Selected works and publications

Works

Publications

References

  1. Gardner, Lauren (13 March 2020). "Professor Lauren Gardner Discusses How the COVID-19 Dashboard is Built and Maintained". Johns Hopkins University.
  2. "Lauren Gardner: The 100 Most Influential People of 2020". Time. Retrieved 2020-09-23.
  3. Gardner, Lauren. "Background". Lauren Gardner. Archived from the original on 5 March 2017.
  4. Gardner, Lauren. "Bio". Lauren Gardner. Archived from the original on 20 May 2018. Retrieved 29 April 2020.
  5. Gardner, Lauren Marie (May 2011). Network Based Prediction Models for Coupled Transportation-Epidemiological Systems (PDF) (PhD). University of Texas at Austin. OCLC 728660324.
  6. z8922934 (2012-09-10). "Mapping the contagion". UNSW Newsroom. Retrieved 2020-03-23.
  7. "Introducing Bio-security Mobility". School of Civil and Environmental Engineering. 2018-08-08. Retrieved 2020-04-16.
  8. "Guest Seminar - Dr Lauren Gardner". School of Civil Engineering. Retrieved 2020-03-23.
  9. "Lauren Gardner | Research Centre for Integrated Transport Innovation (rCITI)". dev.rciti.unsw.edu.au. Retrieved 2020-03-23.
  10. Hsu, Jeremy. "Here's How Computer Models Simulate the Future Spread of New Coronavirus". Scientific American. Retrieved 2020-03-23.
  11. "Team – CSSE". systems.jhu.edu. Retrieved 2020-03-23.
  12. May 9, Chanapa Tantibanchachai / Published; 2019 (2019-05-09). "New analysis predicts top 25 U.S. counties at risk for measles outbreaks". The Hub. Retrieved 2020-03-23.CS1 maint: numeric names: authors list (link)
  13. "Meet some of the women trying to beat the spread of coronavirus". Women's Agenda. 2020-03-10. Retrieved 2020-03-23.
  14. Snyder, Susan. "Johns Hopkins coronavirus dashboard offers a real-time window on a global pandemic". Inquirer. Retrieved 2020-03-23.
  15. "What trends are researchers seeing with the coronavirus?". PBS NewsHour. 2020-03-22. Retrieved 2020-03-23.
  16. "Behind the Johns Hopkins University coronavirus dashboard". www.natureindex.com. Retrieved 2020-04-16.
  17. "Johns Hopkins University Coronavirus Briefing | C-SPAN.org". www.c-span.org. Retrieved 2020-03-23.
  18. "2008 Annual Report" (PDF). Center for Transportation Research. 2008. p. 25.
  19. "BBC 100 Women 2020: Who is on the list this year?". BBC News. 2020-11-23. Retrieved 2020-11-23.
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