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University of Luxembourg, Luxembourg
Plenary Speaker
Christophe Ley is Chair of Applied Statistics in Actuarial Sciences at the University of Luxembourg and co-founder of GrewIA, a company offering comprehensive tailor-made training and innovative consulting solutions in Artificial Intelligence and Data Science. He is currently also Editor-in-Chief of the Journal of Sports Analytics. Among his main achievements are the Bernoulli Prize in 2024, a Teaching Award at the University of Luxembourg in 2024, and the 2014 Marie-Jeanne Laurent-Duhamel Prize for the best PhD thesis in statistics among all french-speaking universities worldwide over a period of three years.
University of Glasgow, UK
Plenary Speaker
Scott has a degree in statistics and a PhD from the University of Glasgow. Her thesis was on the sources of error in radiocarbon dating, and was supervised by Murdoch Baxter and Tom Aitchison. Her research interests include model uncertainty and sensitivity analysis, modelling how pollutants disperse in the environment, radiocarbon dating and assessing animal welfare. In 2005, Scott was elected a Fellow of the Royal Society of Edinburgh (FRSE), Scotland's national academy of science and letters. In the 2009 Queen's Birthday Honours, she was appointed an Officer of the Order of the British Empire (OBE) for services to social science. Professor Scott was awarded the Royal Statistical Society Barnett Award in 2019 for "her outstanding, pioneering research into the application of innovative statistical techniques to environmental issues."
University of Kent, UK
Plenary Speaker
Shaomin Wu earned both an MSc and a doctoral degree in applied statistics. He subsequently worked for a leading global manufacturer in Shanghai for five and a half years before relocating to the UK in 2001. His first two roles in the UK were as postdoctoral research fellows, focusing on machine learning and reliability mathematics, respectively. He then served as a lecturer in risk and decision analysis at Cranfield University. In 2012, he was appointed senior lecturer in business/applied statistics at Kent Business School, became a reader in 2013, and was promoted to professor in 2018.
University of Mannheim, Germany
Keynote Speaker
Prior to joining the University of Mannheim, Professor Ratkovic received his PhD from the University of Wisconsin-Madison under David Weimer, was mentored by Kosuke Imai at Princeton University as a post-doctoral fellow, and spent a decade teaching in the Department of Politics with an affiliation at the Center for Statistics and Machine Learning at Princeton University. His work has appeared in top journals in political science and statistics, among them the American Political Science Review, Journal of Politics, Journal of the American Statistical Association, and Journal of the Royal Statistical Society (Series B). He was the inaugural recipient of the Thomas Ten Have Memorial Award from the Atlantic Causal Inference Conference, the Gosnell Prize for Excellence in Political Methodology from the Society for Political Methodology, and the Stanley Kelley, Jr. Award for Excellence in Teaching from the Department of Politics at Princeton University. His students have found academic positions at top universities, including Harvard University and the University of Michigan, as well as top positions in industry, including at Google, Facebook, and Two Sigma.