Vladimir Keilis-Borok 1921年7月31日，生于莫斯科，数学地球物理学家。1948年在莫斯科科学院取得博士学位，是International Institute of Earthquake Prediction Theory and Mathematical Geophysics的创始人。
His team of researchers have used new methods for earthquake prediction, correctly predicting earthquakes in San Simeon (December 2003) and Japan (September 2003). Since 1989, Dr Keilis-Borok’s method has been applied to 30 cases, with only 6 errors (two failures-to-predict a second strong earthquake and four false alarms. One of those false alarms was picked up by the media and used to try to discredit the method).
Recently Dr. Keilis-Borok has, in collaboration, used some of his techniques to make socio-economic predictions with notable success. For example, in his work with Allan Lichtman, he used the mathematics of pattern recognition to correctly predict the popular vote winner of presidential elections in the United States from 1984 to 2004 as well as correctly predicting 128 out of 150 US mid-term Senatorial elections since 1986. He has also applied the method to predicting rises in murder rates in Los Angeles, recessions, spikes in unemployment and, most recently, terrorist attacks.
Currently Dr. Keilis-Borok teaches at the University of California, Los Angeles, is the research group leader at the International Institute for Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Science, and is the Co-Director (and Founder) of the Research program on non-linear dynamics and earthquake prediction of the the Abdus Salam International Center for Theoretical Physics, Trieste. Cites wikipedia.org
2004年，利用他的数学模型预测克里会赢得大选，显然结果并没有如他所愿。