# Lab. 4 Yoshito Hirata

# Profile

Yoshito Hirata

**Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo Associate Professor**

7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656

Eng. 6 Bldg. Room 436

Tel: +81-3-5841-0698

Fax:

E-mail： hirata@mist.i.u-tokyo.ac.jp

## Curriculum Vitae

Mar. 1998 | Bachelor degree from Department of Mathematical Engineering and Information Physics, The University of Tokyo |
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Mar. 2000 | Master degree from Department of Mathematical Engineering and Information Physics, The University of Tokyo |

Apr. 2004 | Postdoctoral researcher, Department of Mathematical Informatics, The University of Tokyo |

Jun. 2004 | Ph. D. from School of Mathematics and Statistics, University of Western Australia |

Oct. 2006 | Researcher, Aihara Complexity Medelling Project, Japan Science and Technology Agency |

Apr. 2008 | Project Research Associate, Institute of Industrial Science, The University of Tokyo |

Jul. 2010 | Project Associate Professor, Institute of Industrial Science, The University of Tokyo |

Jan. 2018 | Associate Professor, Mathematics and Informatics Center, The University of Tokyo |

## Research Themes

I am investigating theory and applications of nonlinear time series analysis, which is time series analysis
based on dynamical systems theory.

Especially, I want to grasp new needs for analyzing real datasets, develop new methods for nonlinear
time series analysis for such purposes, and apply the methods to solve the real world problems by
understanding, predicting and/or controlling the underlying dynamics.

## Selected papers

- Y. Hirata, T. Stemler, D. Eroglu, and N. Marwan, Prediction of flow dynamics using point processes, Chaos 28, 011101 (2018).
- Y. Hirata, A. Oda, K. Ohta, and K. Aihara, Three-dimensional reconstruction of single-cell chromosome structure using recurrence plots, Scientific Reports 6, 34982 (2016).
- Y. Hirata, N. Bruchovsky, and K. Aihara, Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer, Journal of Theoretical Biology 264, 517-527 (2010).
- Y. Hirata, K. Judd, and D. Kilminster, Estimating a generating partition from observed time series: Symbolic shadowing, Physical Review E 70, 016215 (2004).