I am an assistant professor at the Institute of Scientific and Industrial Research (ISIR), Osaka Univeristy (Osaka, Japan). I am also a research fellow of PRESTO (Precursory Research for Embryonic Science and Technology) by JST (Japan Science and Technology Agency). I received my Ph.D. degree from the University of Tokyo in 2008.
My primary research interests lie in combinatorial methods for machine learning and statistical modeling for time-series data. I am particularly interested in submodularity in machine learning, learning dynamical systems, statistical causal analysis, change-point detection in time-series data, bioinformatics and data-mining for engineering systems.

Materials:

• Curriculum Vitae is available here (pdf ver. is also available here).
  
• Quick link to electronic versions of my major research papers (publication list).
  

Recent News:

• Our paper titled "Separation of stationary and non-stationary sources with a generalized eigenvalue problem" has been accepted for the publication at Neural Networks (1 April, 2012)
• Our paper titled "Prismatic algorithm for discrete D.C. programming problems" has been accepted to The 25th Ann. Conf. on Neural Information Processing Systems (NIPS'11) (31 August, 2011)
• Our paper titled "Learning non-linear dynamical systems by alignment of local linear models" has been accepted to Trans. of the Japanease Society for Artificial Intelligence (in Japanese) (11 August, 2011).
• I will visit Machine Learning and Computational Biology Group (Borgwardt Lab.) at the Max Planck Institute (Tubingen, Germany) from 4 August to 14 October.
• Our paper titled "Discovering causal structures in binary exclusive-or skew acyclic models" has been accepted to 27th Conference on Uncertainty in Artificial Intelligence (UAI'11) (1 June, 2011).
• Our paper titled "Spacecraft telemetry monitoring method based on dimensionality reduction and clustering" has been accepted to Trans. of the Japan Society for Aeronautical and Space Sciences (in Japanese) (18 May, 2011).
• Our paper titled "Size-constrained submodular minimization through minimum norm base" has been accepted to the 28th International Conference on Machine Learning (ICML'11) (20 Apr., 2011).
• Our paper titled "Sequential change-point detection based on direct density-ratio estimation" has been accepted to Statistical Analysis and Data Mining (14 Apr., 2011).
• Our paper titled "DirectLiNGAM: A direct method for learning a linear non-Gaussian structural model" has been accepted to Journal of Machine Learning Research (25 Mar., 2011).
• Our paper titled "Analyzing relationships among ARMA processes based on non-Gaussianity of external influences" has been accepted to Neurocomputing (27 Feb., 2011).

My past news are also available here.