David LALLEMANT
Principal Investigator
Assistant Professor, Asian School of the Environment
Email:
Office Location:
Additional Website:
Research Group:
- Hazards, Risk and Society, Risk and Hazard Mitigation, Disaster Recovery
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.
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
Publications:
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(2017). A Framework and Case Study for Earthquake Vulnerability Assessment Of Incrementally Expanding Buildings. Earthquake Spectra.
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(2015). A Framework for Assessing Building Performance Limit states that Inform Community Seismic Resilience. Journal of Structural Engineering.
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(2015). Statistical procedures for developing earthquake damage fragility curves. Earthquake Engineering and Structural Dynamics. 44(9), 1373-1389.
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(2015). A Beta Distribution Model for Characterizing Earthquake Damage State Distribution. Earthquake Spectra. 31(3), 1337-1352.
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(2015). Risk Reduction in Post-Disaster Reconstruction. (Phelps, P. M., & Matera M., Ed.).The Shelter Response and Housing Recovery in the First Two Years after the 2010 Haiti Earthquake: What Was Done and What Was Learned?. 65-78.
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(2014). Development of empirical and analytical fragility functions using kernel smoothing methods. Earthquake Engineering and Structural Dynamics. 44(8), 1163–1180.
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(2014). A Framework and Case Study for Urban Seismic Risk Forecasting. Proceedings of the 10th National Conference in Earthquake Engineering. 21-25.
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(2013). Rapid Post-Earthquake Damage Estimation using Remote- Sensing and Field-Based Damage Data Integration. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2013). 3399–3406.
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(2011). A Comprehensive Analysis of Building Damage in the 12 January 2010 Mw7 Haiti Earthquake Using High-Resolution Satellite and Aerial Imagery. Photogrammetric Engineering & Remote Sensing,. 77(10), 997-1009.
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(2010). The State of Haiti following the 2010 Earthquake. Berkeley Planning Journal. 23(1), 191-194.
Publications:
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(2017). Accounting for Uncertainty in Earthquake Fragility Curves. 16th World Conference in Earthquake Engineering.
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(2014). Waiting for the Big One: the Continued Earthquake Risk of Port-au-Prince, Haiti. 3rd International Conference on Urban Disaster Recovery.
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(2014). Supporting and Informing the Process of Risk Arbitration in Post-Disaster Recovery. 3rd International Conference on Urban Disaster Recovery.
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(2014). Modeling the Future Disaster Risk of Cities to Envision Paths towards their Future Resilience. Understanding Risk Conference.
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(2013). Development of Empirical and Analytical Fragility Functions Using Gaussian Kernel Smoothing Methods. 11th International Conference on Structural Safety & Reliability (ICOSSAR 2013).