David LALLEMANT

Research:

My research interests are in hazard, vulnerability and risk modeling for all natural hazards, with a particular focus on understanding the impact of disasters on cities. I am also interested in the modeling and communication of uncertainty as it relates to disaster risk, and the translation of science into policy. I use tools and methods from structural engineering, probabilistic hazard analysis, predictive modeling, geostatistics and other statistical methods to attempt novel and impactful research to promote resilient societies. I also work on the use of novel technologies for post-disaster damage assessment aimed at informing rapid, effective and equitable response and recovery. The multi-disciplinary and policy-oriented nature of my work has led him to build collaborations with the World Bank, the Red Cross, Google, USGS and others.

Hazard, Vulnerability, Risk and Resilience Analysis - Topics of interest include:
* Time-dependent risk modeling.
* Developing quantitative models of "resilience" (the ability of systems to recover from shock).
* Risk analysis at the urban and regional scale.
* Disaster impacts beyond fatalities and financial loss.
* Novel methods of fragility modeling.

Post-Disaster Impacts and Recovery - Topics of interest include:
* Remote sensing for post-disaster assessment.
* Crowd-sourcing for post-disaster assessment.
* Multi-data integration and geostatistics for post-disaster assessment.
* Resilient disaster recovery.

Education:

Ph.D. in Structural Engineering - Stanford University, 2015
Thesis: Modeling the Future Disaster Risk of Cities to Envision Paths Towards Their Future Resilience.
M.Sc. in Structural Engineering - University of California at Berkeley (UC Berkeley), 2010
B.Sc. in Civil Engineering - Massachusetts Institute of Technology (MIT), 2007