Data Analysis and Rationality in a Complex World / Studies in Classification, Data Analysis, and Knowledge Organization (PDF)

Rim Lee is an Honorary Professor of the Department of Data Science & Statistics, and former Dean of the College of Natural Science at the KNOU in Seoul. She is a biostatistician and her main research interests include tree-based classification model with CART, FACT, NN, kernel discrimination, deep learning for HCC patients, survival tree for OSCC. She was the president of KOSHIS (2009-2011) and KCS (2008-2016), council member of IFCS (2008-now), treasurer (2002-2004), former vice president of KSS (2014-2015), the vice president of IASE under ISI (2011-2013). She was elected as an Executive Board Director of IBS (2015-2021) and Organizing Committee Member of International Prize in Statistical Foundation (2018-now).




Angela Montanari is a Full Professor of Statistics and Head of the Department of Statistical Sciences at the University of Bologna, Italy, the president of the International Federation of Classification Societies (IFCS) from 2020 to 2021, former president of the Classification Group of the Italian Statistical Society (CLADAG) from 2007 to 2009. Her research interests are in the field of supervised and unsupervised classification, dimension reduction, data science and machine learning. She has published more than 100 papers in international journals, conference proceedings and edited books.


Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science, the Associate Department Head and Co-Director of Undergraduate Studies for the Statistics & Data Science Department at the Carnegie Mellon University in Pittsburgh. She is the President-Elect of the International Federation of Classification Societies (2020-2021) and the former President of the Classification Society (of North America) from 2012-2014. She has won several national and university teaching awards including the American Statistical Association Waller Award for Innovation in Statistics Education and serves as one of the co-editors of the Springer Texts in Statistics. She recently served on the National Academy of Sciences study on Envisioning the Data Science Discipline: The Undergraduate Perspective and is the co-chair of the 2020 NAS study Improving Defense Acquisition Workforce Capability in Data Use. She has worked extensively in clustering and classification methodology with an emphasis on high-dimensional, big data problems and record linkage applications. Her current research focus is the development and deployment of low-barrier data analysis platforms that allow for adaptive instruction and the study of data science as a science.