Statistical Machine Learning and Exploratory Data Analytics (SMiLE)

The SMiLE research group researches advanced statistical (probabilistic) machine learning methods for data analysis, especially methods for learning from multiple sources of data and methods for interactive analysis. Our research combines statistics, computer science, and data science. We focus on tasks including modeling of underlying trends in large text data, interactive information retrieval, and nonlinear dimensionality reduction and visualization of high-dimensional data.

We participate in multi-disciplinary research in domains including social media analysis, game culture studies, health, ethical artificial intelligence, bioinformatics, language studies, and several areas of social sciences.