School of Information and Data Sciences, Nagasaki University

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Research Activities

Staff Introduction

Masao UEKI
  • Institute of Integrated Science and Technology, Professor
  • School of Information and Data Sciences, Professor
  • Ph.D.(Environmental Science)
Researcher number
Date of arrival
Nagasaki University: Apr.2020 –
Area of Research
Statistical Science, Biostatistics, Statistical Genetics
Okayama University, Faculty of Environmental Science and Technology, Graduated
Okayama University, Graduate School of Natural Science and Technology, Master Course, Completed
Okayama University, Graduate School of Environmental, Doctor Course, Completed
Research Organization of Information and Systems, Transdisciplinary Research Integration Center, Project Researcher
Yamagata University, Faculty of Medicine, Assistant Professor
Newcastle University, Institute of Genetic Medicine, Visiting Researcher
Tohoku University, Tohoku Medical Megabank Organization, Assistant Professor
May 2015
Kurume University, Biostatistics Center, Lecturer
Kurume University, Biostatistics Center, Associate Professor
RIKEN, Center for Advanced Intelligence Project, Statistical Genetics Team, Research Scientist

Research activities

 Healthcare big data analysis
Large-scale cohort studies have been established in many countries. From these healthcare big data, there is a need to gain new insights such as identification of unknown risk factors and prediction of risk of developing disease, and to give back to society. Extensive data makes it difficult to perform comprehensive and detailed analysis by human power, but the data can be analyzed efficiently using advanced theories and methods of statistical science and machine learning. My main research interests are sparse modeling and other methods that are easily interpreted and also have high accuracy.
 Methodology and practice of ultrahigh dimensional genomic data analysis
My research focuses on the development and practice of methodologies to investigate the relationship between human diseases and genes. In particular, I am studying ultrahigh dimensional genomic data such as genome-wide SNPs (single nucleotide polymorphisms) data. For example;
  • Genome-wide association study
  • Gene × gene interaction analysis
  • Gene × environment interaction analysis
  • Prediction of risk of developing disease
Using statistical science, biostatistics, and machine learning, I work on a variety of statistical genetics problems ranging from standard to advanced analysis of human genomic data.
Genome-wide association analysis (search for disease susceptibility genes from millions or more of SNPs data)

Educational activities

School of Information and Data Sciences:
First-year Seminar, Probability and Statistics, Medical and Bio informatics II, Research Project
Liberal Arts Education:
Introduction to Data Science, Introduction to Statistics