Department of Biostatistics and Data Science, Kyoto University School of Public Health
About:
The department aims to contribute to health sciences, through creating and practicing effective statistical and machine learning methods to solve important data science problems from a wide spectrum of biomedical researches.
Our department is carrying out many methodological researches on statistics and machine learning in biomedicine, including design and analysis of clinical trials and observational studies. The faculty members are also engaged in many medical research projects and continuously bridging statistical design and analysis to a wide variety of data science problems encountered in these projects. This also enables them to provide graduate students with the good practice of data science. Our graduates are expected to have leadership careers as researchers and practitioners in academic data science departments or data centers, government, and industry (hopefully, in the nation).
In response to many inquiries from overseas, we expect that candidate students from overseas will have, at least, a sufficient level of knowledge of statistics, machine learning theory and methodology, and programming skills. We welcome those who are expected to bring new possibilities to our department (especially in methodological research of biostatistics and machine learning), not those who just want to learn from us. We also assume that students will be able to secure their own academic and living expenses. Those considering applying to our doctoral program are required to submit in advance a detailed research plan that has been prepared based on a thorough literature review. In screening many inquiries, we place the utmost importance on detailed and accurate information regarding academic achievements, research publications, and programming skills, etc. As a result, our selection process will likely be weighted more heavily towards PhD applicants.
Members
- Shigeyuki Matsui (Professor)
- Kota Matsui (Associate Professor)
- Ryo Emoto (Designated Lecturer)
- Kazuki Nishida (Assistant Professor)