The overarching emphasis of my research is how to use observed streamflow data to inform water resources management decisions. The flood management branch of my research includes a project on modeling changes in extreme floods and developing a screening model to help communities identify optimal floodplain management decisions under the uncertainty of climate change. The other branch of my research focuses on reducing conflicts between reservoir management objectives and downstream ecosystems, for which I am developing frameworks to statistically test various hypotheses about the significance of hydrologic alteration for ecosystems.


PhD Candidate, Civil and Environmental Engineering Department, Tufts University

MSc in Civil Engineering, University of Illinois at Urbana-Champaign (2011)

Master of Arts in Geography, University of California at Santa Barbara (2007)

Bachelor of Arts in Geography and International Development, Clark University (2002)


NSF IGERT Fellowship in Water Diplomacy, Tufts University

Research Award, Hydro Research Foundation

Graduate Research Fellowship, Tufts Institute of the Environment

NSF IGERT Mini-Grant, Tufts University


Hydrology, water resources management, statistics, optimization, R, Matlab, Excel, GIS, remote sensing, Spanish (fluent written and spoken), and editing.

research needs

  • R
  • Python
  • Statistics (especially non-constant variance modeling)
  • General Circulation Models
  • Stream ecology