Interdisciplinary Research Teams Including Profs. Lauren Gardner and Tak Igusa Receive Johns Hopkins Discovery Awards

June 14, 2019

Congratulations to both Associate Professor Lauren Gardner and Professor Tak Igusa, who each are a part of one of the  32 multidisciplinary endeavors that have been selected to receive support this year from Johns Hopkins University’s Discovery Awards program. Each project team includes members of at least two JHU divisions or other entities who aim to solve a complex problem and expand the horizons of knowledge.

“This year’s proposals attested to the intellectual creativity and collaborative spirit of our university,” says Ronald J. Daniels, president of Johns Hopkins University. “With these awards, faculty will have the freedom to pursue new avenues for discovery with colleagues across our community and to take up the most pressing questions we face as a society.”

Gardner is part of two teams, Igusa is a part of one. Below is a listing of their projects and team members.

  1. Integrating Human Mobility and Genomics to Understand Dengue Spatial Dynamics– Lauren Gardner (Engineering), Amy Wesolowski (Public Health) & Justin Lessler (Public Health)
  2. Johns Hopkins University Living Laboratory for Urban Mobility– Jeffrey Michael (Public Health), Johnathon Ehsani (Public Health), Tak Igusa (Engineering), Lauren Gardner (Engineering), John Benson (Applied Physics Lab) & Bob Bamberger (Applied Physics Lab)

We’re excited to learn more about these projects and see what impact they have on the field of civil engineering and the world.

View the full list of award recipients on the Office of Research website.

Lauren Gardner joined the Department of Civil Engineering earlier this year. Prior to joining JHU she was a Senior Lecturer in the School of Civil and Environmental Engineering and Research Fellow in the School of Public Health at the University of New South Wales (UNSW) Sydney. Dr. Gardner has successfully led interdisciplinary research efforts on the emerging topic of bio-secure mobility. Her work has resulted in several core methodological developments and innovative solution techniques which have progressed the state of the art in global epidemiological risk assessment. She has received research funding from organizations including Australian Government National Health and Medical Research Council (NHMRC), Australian Research Council (ARC), Commonwealth Scientific and Industrial Research Organization (CSIRO), Queensland Health Department, Transport for New South Wales and GoGet Car Share, and has published over 70 peer reviewed journals articles and conference proceedings on a range of infectious disease and network modelling applications. 


Takeru (Tak) Igusa is a leading expert in systems science. He is known for bringing new insights to complex problems in the health sciences through the use of systems principles and analytical techniques. Igusa’s background in engineering and applied mathematics has allowed him to work across a diversity of fields, from epidemiology to community resilience to civil and mechanical structures. The collaborative and multidisciplinary nature of his research has led to joint appointments in the departments of Mental Health and International Health at the Bloomberg School of Public Health (JHSPH), and in the Department of Earth and Planetary Sciences at the Krieger School of Arts and Sciences. He also holds a secondary appointment in the Whiting School of Engineering’s Department of Applied Mathematics and Statistics. He has spearheaded a number of research and educational initiatives at Johns Hopkins, including an NIH-funded Global Center for Childhood Obesity, where he served as director of the education and training core for four years. Igusa’s work has been funded by the National Institutes of Health, Centers for Disease Control and Prevention, National Science Foundation, NASA, U.S. Department of Health and Human Services, Robert Wood Johnson Foundation and Bloomberg Philanthropies. He has had more than 75 papers published in peer-reviewed journals.

 

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