Radcliffe, Nicholas J.

Nicholas Radcliffe is a consultant specializing in predictive modeling and stochastic optimization. He is best known for developing forma analysis, a theory of representation for genetic algorithms, and uplift modeling, a novel statistical approach to predictive modeling as it applies in marketing optimization.After gaining a Ph.D. in Theoretical Physics at Edinburgh University, he joined the newly forming Edinburgh Parallel Computing Centre in 1990, where he led a group that used high-performance computing to tackle business and commercial problems. In 1995, with three colleagues he founded Q...