Tazro OHTA Tenure Track Associate Professor

Tazro OHTA
Tenure Track Associate Professor

Researchmap

• Chiba University Institute for Advanced Academic Research / Graduate School of Medicine

• Keywords

  Omics data analysis, Database, Machine learning, Data analysis infrastructure

Research Theme

Research and development of data science infrastructure for medical applications of machine learning

Abstract

Scientific research outcomes are shared through published papers, and the experimental data that supports the claims made in these papers are also frequently used among researchers. Data reuse for alternate objectives is becoming more common through databases. Recent advancements in machine learning technology have greatly improved the process of generating new knowledge from accumulated data. However, the application of machine learning technology is posing many challenges, such as increased computational costs and concerns regarding privacy and the reliability of training data. In medical applications, large-scale medical data plays a critical role in improving performance, as well as ensuring the reliability and reproducibility of results.

To effectively utilize valuable clinical records or the experimental data of molecular biology, such as large-scale genome sequencing technologies, I closely collaborate with bioinformatics researchers in Japan and abroad. My aim is to establish and implement international standards for large-scale data analysis platforms, and to research and develop advanced life science databases that contribute to medical applications. My ultimate goal is to strengthen medical data science using machine learning through our free and open-source software and databases.