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第25回 統計科学セミナー　「区分確定的マルコフ過程を利用したモンテカルロ法の最近の展開について」
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第24回 統計科学セミナー　「Sparse kernel k-means clustering for high-dimensional data （高次元データに対するスパースカーネルk-means法）」
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第23回 統計科学セミナー 「人工知能研究の現状と強い人工知能実現の観点からみる外部記憶と長期記憶」

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About Us

About the Center for Statistical Science

The Center for Statistical Science is a hybrid organization that integrates both real and virtual environments, where researchers from diverse fields collaboratively tackle qualitative and quantitative data analysis challenges. Grounded in statistical science, we actively incorporate methods from AI, machine learning, and mathematical sciences, while also drawing on domain-specific expertise and issues from the natural sciences, social sciences, and humanities. Our mission is to advance cutting-edge, integrated education and research in statistical science.

Vision

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Education and Research Support: Statistics & Data Science

1. Educational Support

Building on specialized coursework in statistics and data analysis offered by the Graduate School of Information Sciences, this program allows graduate students to gain practical experience in model development and data analysis through short-term study abroad at domestic and international research institutions, as well as internships at companies specializing in data analytics.

2. Research Support

From a statistical science perspective, we provide guidance and support in building stepwise analytical research systems. We also hold research support seminars offering lectures on advanced statistical methods for surveys and data analysis, including hands-on training using Python and R.

Consult

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Statistical Science Seminars

①Statistical Science Seminars

We invite leading researchers at the forefront of statistical and data sciences to present timely, cutting-edge topics. The seminars provide a venue where presenters and participants can share and discuss their latest results in areas such as (1) the development of statistical theories and models, (2) AI, machine learning, and deep learning, and (3) real-world data analysis challenges. These discussions often lead to the formation of new collaborative research opportunities.
Participation is open not only to members of the Graduate School of Information Sciences, but also to faculty and students from other universities and research institutions.

②Distinguished Lectures in Statistical Science

We regularly host special lectures by prominent international researchers. These lectures go beyond the seminar format to cover global challenges—such as the COVID-19 pandemic—from the perspective of statistical and data sciences. They are open not only to specialists but also to members of the general public who are interested in how statistical science contributes to global problem-solving.

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Integration of Statistical and Information Sciences

In today's data-driven environment, AI and machine learning have attracted increasing attention as analytical tools central to the vision of "Society 5.0." However, these methods are often black boxes to analysts, require large-scale data, and pose challenges in terms of sustainability and resource use. Statistical science complements these methods by providing fundamental knowledge and techniques for understanding the underlying structure and mechanisms in data. It continues to evolve to offer flexible and reliable insights by developing new statistical models grounded in real-world data.

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Member Member

Yuko Araki

Director: Yuko Araki

Professor, Graduate School of Information Sciences

  • Statistical Science、
  • Statistical Modeling for complex data、
  • Functional Data Analysis、
  • Biostatistics.
Takeshi Obayashi

Takeshi Obayashi

Professor, Graduate School of Information Sciences

  • Marine biology、
  • Plant Science、
  • Functional Genomics、
  • Bioinformatics.
Takayuki Okatani

Takayuki Okatani

Professor, Graduate School of Information Sciences

  • Computer Vision、
  • Multimodal AI、
  • Deep Learning、
  • Real-world Application of AI.
Nobuyuki Obata

Advisor: Nobuyuki Obata

Professor, Center for Data-driven Science and Artificial Intelligence

  • Probability Theory、
  • Graph Theory、
  • White Noise Analysis、
  • Infinite-dimensional Analysis
Kazunori Kawamura

Kazunori Kawamura

Professor, Faculty of Political Science and Economics, Takushoku University

  • Democratic Decision-Making、
  • Public Opinion Research、
  • Evidence-Based Policy Making in Local Governments、
  • Public Administration Evaluation
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Yuichi Kawamoto

Professor, Graduate School of Information Sciences

  • Wireless Communications、
  • IRS、
  • Satellite Communications、
  • WLAN
Kengo Kinoshita

Kengo Kinoshita

Professor, Graduate School of Information Sciences

  • Bioinformatics、
  • Human Genomics、
  • Multi-omics Analysis.
Toshiyuki Sugawa

Toshiyuki Sugawa

Professor, Graduate School of Information Sciences

  • Complex Analysis、
  • Moment problem、
  • Potential Theory
Jun Suzuki

Jun Suzuki

Professor, Graduate School of Information Sciences

  • Artificial Intelligence、
  • Learning Systems、
  • Generative AI、
  • AI Foundation Models
Satoshi Tadokoro

Satoshi Tadokoro

Professor, Tough Cyberphysical AI Research Center

  • Rescue robot、
  • field robotics
Hajime Tanaka

Hajime Tanaka

Professor, Graduate School of Information Sciences

  • Algebraic Graph Theory、
  • Algebraic Combinatorics、
  • Discrete Mathematics.
Kanta Naito

Kanta Naito

Professor, Graduate School of Information Sciences

  • Function Estimation、
  • Multivariate Analysis、
  • Machine Learning.
Masayoshi Hariyama

Masayoshi Hariyama

DeenProfessor, Graduate School of Information Sciences

  • Intelligent Integrated Systems、
  • Medical Information Processing、
  • Parallel Computing、
  • Reconfigurable Computing
Yasumasa, Matsuda

Advisor: Yasumasa Matsuda

Professor, Graduate School of Economics and Management

  • Time Series Analysis、
  • Spatial Statistics、
  • Economic Statistics
Kazunori, Yamada

Kazunori Yamada

Professor, Unprecedented-scale Data Analytics Center

  • Memory Ability、
  • Artificial Intelligence、
  • Machine Learning、
  • Data Science、
  • Game informatics
Yuanyuan Bao

Yuanyuan Bao

Associate Professor, Graduate School of Information Sciences

  • Low-dimensional topology、
  • Knot theory
Itsumi Saito

Itsumi Saito

Associate Professor, Graduate School of Information Sciences

  • Natural Language Processing、
  • Multimodal processing
Takako Nemoto

Takako Nemoto

Associate Professor, Graduate School of Information Sciences

  • Mathematical Logic、
  • Constructive Mathematics、
  • Reverse Mathematics.
Naoya Fujiwara

Naoya Fujiwara

Associate Professor, Graduate School of Information Sciences

  • Mathematical modeling of the co-evolution of cities and transportation networks、
  • Network analysis of interregional human mobility、
  • Mathematical modeling of infectious disease transmission and analysis of epidemiological data
Sho Yokoi

Sho Yokoi

Associate Professor, Advanced Language Science (E3P) Research Center, National Institute for Japanese Language and Linguistics

  • Natural Language Processing、
  • Representation Learning
Yuichi Wada

Yuichi Wada

Associate Professor, Graduate School of Information Sciences

  • Cognitive Psychology、
  • Machine Learning using Psychological and Behavioral Data、
  • Eye Movement Analysis.
Mineaki Ohishi

Mineaki Ohishi

Assistant Professor, Center for Data-driven Science and Artificial Intelligence

  • Statistical Science、
  • Sparse Estimation、
  • Model Selection、
  • Real Estate Data Analysis
Kazuto Takao

Kazuto Takao

Assistant Professor, Graduate School of Information Sciences

  • Low-dimensional topology、
  • Knot theory、
  • Singularity theory of differentiable maps.
Xin Guan

Xin Guan

Project Assistant Professor, Graduate School of Information Sciences

  • Machine Learning、
  • Clustering、
  • high-dimensional data

Mariko Yamada
Secretary

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Center for Statistical Science
Graduate School of Information Sciences, Tohoku University

6-3-09 Aramaki Aza Aoba, Aoba-ku, Sendai 980-8579, Japan

About Us