David J Wald
Dr. Wald is a Seismologist with the USGS in Golden. He is involved in research, development & operations of several real-time earthquake information systems at the USGS National Earthquake Information Center. He developed and manages “ShakeMap”, “Did You Feel it?”, & is responsible for developing other systems for post-earthquake response & pre-earthquake mitigation, including ShakeCas
Wald's scientific interests include the characterization of rupture processes from complex recent and historic earthquakes using combined geodetic, teleseismic, and strong motion data; waveform modelling and inversion; analysis of ground motion hazards and site effects; earthquake source physics; and modelling earthquake-induced landslides, liquefaction, and losses, macroseismic intensity, building damage, financial and human impact, rapid damage and impact assessment, earthquake scenario development and mitigation planning and drills, and communication with the media, public, and emergency managers.
Previously at Caltech, and now at the Colorado School of Mines, Wald has advised dozens of post-doctoral, graduate, and undergraduate student research projects. Wald directly supervises 10 PhD level scientists and 5 five BS and MS level support staff, and supervises several students. Wald serves on several PhD committees at this time. This research has resulted in more than 450 professional publications that David has authored or co-authored, including journal papers, USGS publication series, conference papers, and published abstracts.
Education:
Post-doctoral Fellow, Geophysics, National Research Council, USGS, Pasadena, 1995
Ph.D., Geophysics, California Institute of Technology, Pasadena, CA, 1993
M.S., Geophysics, University of Arizona, Tucson, AZ, 1986
B.S., Geology & Physics, St. Lawrence University, Canton, NY, 1984
Science and Products
Bayesian updating of seismic ground failure estimates via causal graphical models and satellite imagery
Near real-time updating of pager loss estimates
Comment on “Which earthquake accounts matter” by Susan E. Hough and Stacey S. Martin
Evaluation of intensity prediction equations (IPEs) for small-magnitude earthquakes
An efficient Bayesian framework for updating PAGER loss estimates
The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction
Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas
ShakeMap operations, policies, and procedures
Amateur radio operators help fill earthquake donut holes
Quantifying nuisance ground motion thresholds for induced earthquakes
Assessing the long-term earthquake risk for the US National Bridge Inventory (NBI)
Financial risk innovation: Development of earthquake parametric triggers for contingent credit instruments
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Bayesian updating of seismic ground failure estimates via causal graphical models and satellite imagery
Near real-time updating of pager loss estimates
Comment on “Which earthquake accounts matter” by Susan E. Hough and Stacey S. Martin
Evaluation of intensity prediction equations (IPEs) for small-magnitude earthquakes
An efficient Bayesian framework for updating PAGER loss estimates
The US Geological Survey ground failure product: Near-real-time estimates of earthquake-triggered landslides and liquefaction
Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas
ShakeMap operations, policies, and procedures
Amateur radio operators help fill earthquake donut holes
Quantifying nuisance ground motion thresholds for induced earthquakes
Assessing the long-term earthquake risk for the US National Bridge Inventory (NBI)
Financial risk innovation: Development of earthquake parametric triggers for contingent credit instruments
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.