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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."
Università della Svizzera italiana, Switzerland
Plenary Speaker
Professor Ernst C. Wit is Professor of Statistics and Data Science at the Università della Svizzera italiana in Lugano, Switzerland. He serves as the director of the Institute of Computing and as vice dean of the Faculty of Informatics. Prof. Wit obtained PhDs in Philosophy (1997, Penn State) and Statistics (2000, University of Chicago) in the US. From 2000 until 2005 he was in the Statistics Department at the University of Glasgow, where he became a Reader. In 2005 he became head of the Medical Statistics Unit (12 FTE) at the University of Lancaster as full professor. As Director he implemented a thriving Master in Statistics programme. From 2008 until 2018 Wit was at the University of Groningen, for the last 4 years as head of the Mathematics Department. Since 2018 he is working in Switzerland, where he has continued to work on methodological development in high-dimensional inference with a specific focus on network modelling. He is the author of 160 peer-reviewed publications. He has served as the President of the European Bernoulli Society and as member of the Board of Directors of the International Biometrics Society. He was president of the Dutch Biostatistics Society. He is a founding member of the Data Science and Systems Complexity Center (DSSC), which also established a Data Science Master and a Statistics and Big Data Master, at the University of Groningen. Wit has presided over a European COST Action, entitled COSTNET (CA15109, 2015-2020), that has dealt with novel methods for statistical network science and that brought together over 500 researchers from 34 countries throughout Europe. Currently, Wit is leading 2 SNSF projects on Sparse Network Inference and on the Dynamics of Innovation. He is a co-PI on the EU Periscope project on modelling the side-effects of the Covid-19 pandemic. Furthermore, Wit advises the Ministry of Internal Affairs in the Netherlands on statistical matters relating to elections and referendums since 2014.
New Jersey Institute of Technology, USA
Plenary Speaker
Chase Wu is a professor and the associate chair in Department of Data Science. His work has been supported by various funding agencies, including NSF, DOE, DHS, and ORNL, where he is a collaborative research staff. He has published over 300 research articles in highly reputed conference proceedings, journals, and books.
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 Texas Health Science Center at Houston, USA
Keynote Speaker
I am an Associate Professor of Biostatistics and Data Science at the University of Texas Health Science Center in Houston, and the Founding Director of the Center for Spatial Temporal Modeling for Applications in Population Sciences (CSMAPS) at UTHealth SPH. I graduated with Ph.D. in Statistics from the University of Washington Seattle in 2012. My research interests include Bayesian spatiotemporal modeling, small area estimation, hierarchical models for complex survey data, and statistical analysis of data from wearable devices.
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.
Wroclaw University of Science and Technology, Poland
Keynote Speaker
She received her M.Sc. degree in Financial and Insurance Mathematics from the Institute of Mathematics and Computer Science at Wrocław University of Technology (Wrocław Tech) and a Ph.D. degree in Mathematics from Wrocław Tech in 2006. In 2015, she achieved a D.Sc. degree in mining and geology from the Faculty of Geoengineering, Mining, and Geology at Wrocław Tech. Currently, she holds the position of Professor at Wrocław Tech and is a member of the Hugo Steinhaus Center for Stochastic Processes. Her research interests include heavy-tailed distributed time series, stochastic modeling, and statistical analysis of real data, with a focus on data related to the mining industry, indoor air quality, and financial time series. She has authored over 100 research papers and collaborates with industrial companies such as KGHM and Nokia.