Zdravko Botev Author & Editor

Zdravko Botev is a Statistics Lecturer at UNSW Sydney. He is the inventor of the widely used kernel density estimation via diffusion,  as well as the generalized splitting method for rare-event simulation and optimization. His research has been recognized with the Christopher Heyde Medal of the Australian Academy of Sciences, as well as the Gavin Brown Prize of the Australian Mathematical Society. 

Alexander Keller is a Director of Research at NVIDIA working on the foundations of graphics, communications, and machine learning. Before, he had been the Chief Scientist of mental images. Prior to industry, he worked as a full professor for computer graphics and scientific computing at Ulm University
Christiane Lemieux is a Professor in the Department of Statistics and Actuarial Science in the Faculty of Mathematics at the University of Waterloo in Canada. Her research interests are centered on quasi-Monte Carlo methods and their applications in practice. Her most recent work includes studying the negative dependence properties of scrambled constructions and devising sampling algorithms based on low-discrepancy sequences for multivariate distributions, including copula models.

Bruno Tuffin is a Research Director at Inria Rennes, France. He is leading the Ermine research team focusing on an efficient management of communication networks operations. His own research interests include developing Monte Carlo and quasi-Monte Carlo simulation techniques  for the performance evaluation of telecommunication systems and telecommunication-related economical models. He has written or co-written four books on those topics.