In the machine learning and data science (MLDS) unit, we focus on developing fundamental machine learning algorithms and solving important scientific problems using machine learning. We are currently interested in statistical modeling for high-dimensional data including kernel and deep learning models and geometric machine learning algorithms, including graph neural networks (GNN) and optimal transport problems. In addition to developing ML models, we focus on developing new machine learning methods to automatically find a new scientific discoveries from data.

Information about the MLDS unit at OIST:

  • We are part of OIST, Japan’s international and interdisciplinary research institution, which is very strong in natural science research. Therefore, you can conduct not only fundamental machine learning research but also research on the application of machine learning to the natural sciences (i.e., Machine Learning for Science).
  • We are an international team: both our members and collaborators are from all over the world.
  • We regularly publish papers at top ML venues, including NeurIPS, ICML, AISTATS, and ICLR.
  • We collaborated with researchers at CMU, Oxford, and UCL. Moreover, we actively collaborated with industries.