Multi-Scale Environmental Modeling Lab

Urban and natural environmental areas are complex systems, with complexity arising from interactions between social, biologic and environmental agents & processes. These processes take place on multiple spatial, temporal and contextual scales. Understanding these interactions & their interdependencies is key to developing effective environmental & health policies. The success of such policies hinges on:

Processing and integration of large amounts of highly variable, uncertain and diverse surveillance information;

  • Process-based, multi-scale mathematical models of ecosystem dynamics, pathogen molecular evolution, fate & transport, human exposure & disease transmission;
  • Uncertainty & risk assessment
  • Incorporation of intervention strategies into the models.

We are developing an integrated systems-based analytical framework to study the impact of environmental factors and man-made infrastructure on water quality & waterborne infectious diseases. The framework is needed for:

  • Identification of pathogen sources & distribution factors
  • Risk assessment
  • Prediction of large scale contaminant fate & transport
  • Prediction of disease patterns
  • Development of rapid response measures
  • Design and evaluation of optimal environmental policies
  • Prediction, prevention & control strategies for disease outbreaks


Headshot of Lilit Yeghiazarian

Lilit Yeghiazarian

Assoc Professor, CEAS - Environmental Eng & Science

701E Engineering Research Cntr