Academic Profile

Academic Profile

Asst Prof David Lallemant

Nanyang Assistant Professor, Asian School of the Environment

Asst Prof David Lallemant

David Lallemant’s research focuses on understanding and quantifying the evolution of extreme risk in today’s growing cities. He uses hazard modeling, engineering analysis, predictive modeling and spatial statistics for application in large-scale natural disaster risk analysis. The transdisciplinary and policy-oriented nature of his work has led him to build collaborations with the World Bank, Google, the Red Cross, the Global Facility for Disaster Reduction and Recovery, the Natural Capitals Project and others.

David holds a PhD from Stanford University, a master’s degree from UC Berkeley (2010) and bachelor’s degree from MIT (2007). David co-founded the Stanford Urban Resilience Initiative and the Co-Risk Labs consultancy group.

David is also active in post-disaster response and recovery, which forms the basis for his research on post-disaster assessment and community resilience. He worked for two years in Haiti following the 2010 earthquake and has been involved with the response and recovery following the Christchurch earthquake and recent earthquake in Nepal.
Research Interests
- Disaster risk modeling
- Engineering risk and reliability analysis
- Remote sensing and earth observation technology
- Geostatistics/spatial statistics
- Predictive modeling
- Humanitarian and development sciences
- Design thinking as a research tool
Current Projects
  • Analytics for Dynamic Urban Risk & Disaster Impact Modeling
  • Assessing Post-disaster Impact
  • Equitable Recovery
  • Improving flood extent estimation with spatiotemporal models for extremes
  • Metrics to Monitor Post-Disaster Recovery using Remote and Field-Based Methods
  • Natural Risk Analytics
  • Supporting Equitable Disaster Recovery through Mapping
Selected Publications
  • Maricar L. Rabonza, Yolanda C. Lin, and David Lallemant. (2020). Celebrating Successful Earthquake Risk Reduction Through Counterfactual Probabilistic Analysis.. 17th World Conference on Earthquake Engineering.

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