Keynote Speakers

David J. Hand
(Winner of the Research Medal of IFCS)
David J. Hand
David J. Hand is Emeritus Professor of Mathematics and Senior Research Investigator at Imperial College, London, where he formerly held the Chair in Statistics. He is a Fellow of the British Academy, and an Honorary Fellow of the Institute of Actuaries, and has served (twice) as President of the Royal Statistical Society. He is a non-executive director of the UK Statistics Authority, a member of the European Statistical Advisory Committee, a member of the International Scientific Advisory Committee of the Canadian Statistical Sciences Institute, a member of the Advisory Board of the ONS’s Data Science Campus, and a member of the Advisory Board of the Cambridge Institute for the Mathematics of Information. He previously Chaired the Research Board of Imperial College’s Data Science Institute and was Chair of the UK’s Administrative Data Research Network. He spent eight years as Chief Scientific Advisor to Winton Capital Management. He has published 300 scientific papers and 29 books, including Principles of Data Mining, Information Generation, Measurement Theory and Practice, The Improbability Principle, and The Wellbeing of Nations. In 2002 he was awarded the Guy Medal of the Royal Statistical Society, and in 2012 he and his research group won the Credit Collections and Risk Award for Contributions to the Credit Industry. He was awarded the George Box Medal in 2016. In 2013 he was made OBE for services to research and innovation.

President’s Invited Talk: Deciding what’s what: classification from A to Z

Vladimir Batagelj
Vladimir Batagelj
Vladimir Batagelj is Professor Emeritus of the University of Ljubljiana, Slovenia. He is also a member of the Institute of Mathematics, Physics and Mechanics (IMFM), Ljubljana; of AMI, UP, Koper; and of NRU HSE, Moscow. His coauthored book Generalized Blockmodeling was awarded the 2007 Harrison White Outstanding Book Award by the Mathematical Sociology Section of the American Sociological Association. From the International Network for Social Network Analysis he was awarded the Georg Simmel Award (2007) and the Richards Software Award for the program Pajek (2013).

Invited Talk: Clustering in networks

Theodoros Evgeniou
Theodoros Evgeniou
Theodoros Evgeniou is a Professor of Decision Sciences and Technology Management at INSEAD in Fontainebleau France and an Academic Director of INSEAD eLab, a research and analytics center at INSEAD that focuses on data analytics for business. He graduated first in the MIT class of 1995 dual degrees in Mathematics, won medals in international mathematical Olympiads, and European awards for business case studies. At INSEAD, Theodoros has been focusing on data analytics applied to a range of areas from customer insights and marketing to finance. He has been developing and teaching courses on Data Analytics, Statistics and Decision Making.

Invited Talk: Principles for Building your Own Machine Learning Methods: From Theory to Applications to Practice

Michael Greenacre
Michael Greenacre
Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain. He has authored and co-edited 10 books and over 100 journal articles and book chapters, mostly on correspondence analysis but more recently on compositional data analysis. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science. He is presently participating in many different research projects on Arctic ecology.

Invited Talk: Correspondence analysis: Jack of all trades, Master of one

David Hunter
David Hunter
David Hunter is Professor at Penn State Department of Statistics. His research interests include statistical computing, models for social networks, and statistical clustering. He has published extensively on networks, optimization algorithms and mixture models.

Invited Talk: Model-Based Clustering without Parametric Assumptions

Julie Josse
Julie Josse is Professor of Statistics at Ecole Polytechnique in France. She has specialized in missing data, visualization and the nonparametric analyses of complex data structures. She has published over 30 articles and written 2 books in applied statistics. Julie Josse has developed packages to transfer her works such as missMDA dedicated to missing values. She is deeply involved in the R community and is part of Rforwards to widen the participation of minorities in the communities.

Invited Talk: On the consistency of supervised learning with missing values

Andy Mauromoustakos
Αποτέλεσμα εικόνας για andy mauromoustakos
Andy Mauromoustakos is Professor at the Department of Crop, Soil, and Environmental Sciences and works as an Applied Statistician for the AGRI STAT LAB at the University of Arkansas Fayetteville campus. Andy teaches graduate courses and does research related to Experimental Designs and Data Analysis for the AG Experiment​ Station and the Division of AG.

Invited Talk: Recent Developments in Design Of Experiments for Agricultural Research

Sofia Olhede
Sofia Olhede is Professor of Statistics at University College London, director of UCL’s Centre for Data Science, an honorary professor of Computer Science and a senior research associate of Mathematics at University College London. Sofia has contributed to the study of stochastic processes; time series, random fields and networks. She is on the ICMS Programme Committee since September 2008, a member of the London Mathematical Society Research Meetings Committee, a member of the London Mathematical Society Research Policy Committee and an associate Editor for Transactions in Mathematics and its Applications. Sofia was also a member of the Royal Society and British Academy Data Governance Working Group, and the Royal Society working group on machine learning.

Invited Talk: Modeling Networks and Network Populations via Graph Distances