Laboratory of Biostatistics
Laboratory of Biostatistics
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Along with the significant progress in computer performance in recent years, computational algorithms and numerical methods that have been considered within theoretical frameworks are now becoming executable. In the field of statistics, the benefits of these developments in computer performance and computational algorithms have been applied to various fields such as healthcare and economics, resulting in new statistical methods. In particular, as medical treatment has become increasingly sophisticated and complex, such as personalized medicine utilizing gene expression information, large amounts of data have been accumulated, creating opportunities to utilize statistics supported by high-performance computers and fast computing algorithms. In the era of big data, the demand for statisticians and data scientists who can analyze medical data, including genetic information, and extract medical and pharmaceutical significance is increasing rapidly, highlighting the urgent need for talent development. In response to these social demands, the Laboratory of Biostatistics not only applies existing statistical methods but also actively proposes new methods in biostatistics, computational statistics, and Bayesian statistics, conducting research aimed at the application and utilization of gene expression data and medical data.
Members Introduction
Professor, Mamoru Narukawa (Professor of Laboratory of Bioregulatory Medicine)
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mail: narukawam@
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Lecturer/Junior Associate Professor, Hirofumi Michimae
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mail: michimaeh@
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Research associate, Ai Ushiwata
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mail: ushiwataa@
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M2, Kohei Sasaki
PP6, Yuiho Kashiwagi
PP6, Ryo Kaneko
PP6, Nanaka Sato
PP6, Masaki Taketomi
PP6, Eri Tanaka
PP6 Rina Miyoshi
PP5, Hinano Kohata
PP5, Haruka Sakuma
PL4, Saki Kamigauchi
PP4, Miyu Arita
PP4, Yuuna Hashimoto
PP4, Yingchu Liao
PL3, Kota Izumi