SCIENCE & TECHNOLOGY - AI AREA WORKSHOP

Dae-Jin Lee

Dae-Jin Lee obtained his Ph.D. in Mathematical Engineering (area of Statistics) from University Carlos III de Madrid in 2010. Since 2023, he is Assistant Professor at IE University School of Science and Technology where he teaches subjects related to Data Analysis, Statistical Modeling and Computing. Previously, from 2014 to 2022, he was a researcher and research line leader of the Applied Statistics group at the Basque Centre for Applied Mathematics, Centre of Excellence “Severo Ochoa”, where he also coordinated the Knowledge Transfer Unit in the area of Data Science and Artificial Intelligence. Dae-Jin’s research interests include statistical modeling for complex data with applications in several research fields. In particular, he is an expert in smoothing techniques based on penalized splines regression models, tensor product smooths in mixed models framework with applications in biostatistics, biomedicine, epidemiology, environmental problems, or sports sciences. He has more than 10 years of experience in research in multidisciplinary research environments collaborating with economists, engineers, medical doctors, sports scientists, biologists and mathematicians. He has also led research projects funded through public calls and industrial R&D&I projects. His research has been published in scientific journals such as Biometrics, Statistics in Medicine, Statistical Methods in Medical Research, Statistics and Computing, Journal of the Royal Statistical Society (series C – Applied Statistics) or Statistical Modelling among others and his work has been presented in several international conferences. His research network includes collaborations in several countries such as Spain, France, Germany, UK, the Netherlands, Belgium, Chile, South Africa, Australia and the US. Dae-Jin is also involved in scientific organizations and societies, as member of the board of the Spanish Biostatistics Society (Spanish region of the International Biometrics Society) and the Statistical Modelling Society.