Marie Hušková has been working in the Department of Probability and Mathematical Statistics of the Charles University in Prague since 1964 and got her professorship there in 1997. She is interested in rank statistics, adaptation, robustness, and change-point problems. She is the author of more than 130 scientific papers. She has an outstanding service as an editor and organizer of several International conferences. She is a member of the ISI, the Bernoulli Society, American Statistical Association and a fellow of the Institute of Mathematical Statistics.

Anestis Antoniadis is an emeritus professor at the Joseph Fourier University in Grenoble and an honorary research associate at the University of Cape Town. His research interests include abstract inference for stochastic processes, nonlinear regression, nonparametric curve estimation, survival analysis and point processes, wavelets and their applications. On the applied side, he has worked on meteorology, climatology, crystallography, quality control, petrol products, air-pollution studies and micro-array data. He is a fellow of the Institute of Mathematics and the American Statistical Association, an elected member of the International Statistical Institute, and honorary member of the French Statistical Society. He was the Laplace Lecturer in the 8th World Congress in Probability and Statistics in 2012. He has been editor or associate editor of numerous journals.

Trevor Hastie has been a professor in the Statistics and Biostatistics Departments since 1994. He is founder and co-director of the Statistics department's industrial affiliates program.  He has coauthored six books, among them the best-selling "Elements of Statistical Learning".  He was awarded the Technometrics Ziegel award (dated 2014) for his book “An Introduction to Statistical Learning”, as well as the 2014 Parzen prize for statistical innovation.
 

His research interests include semi-parametric regression models, computer intensive data analysis techniques, statistical computing and  consulting. He is currently working on adaptive modelling and prediction procedures, signal and image modelling, and problems in bioinformatics with many more variables than observations. He is an elected fellow/member of SASA, RSS, ASA, IMS and ISI.