LAB LOGA page on LabLog, a review site (not the lab's official page)
Shibuya Lab
Machine-translated · View original
The lab uses the power of information science to make medical big data, such as genomes, usable.
AboutAbout the lab
Medical big data, powered by information science
Shibuya Lab researches and develops medical data informatics technologies to accelerate medical science research in the era of personalized genomic medicine.
With advances such as next-generation sequencers, a wide variety of large-scale data is accumulating in medical science at a furious pace.
The lab advances research on big data algorithms and related topics from two sides: applications to bioinformatics and the foundations of information science.
The lab is located in the Human Genome Center at the Institute of Medical Science, and also uses the center's supercomputer for its research.
Key terms
- Bioinformatics
- A field that analyzes life science data using computers and the methods of information science
- Next-generation sequencer
- A device that reads the sequence of DNA bases in large quantities and at high speed
- Differential privacy
- An approach to anonymization that lets you see overall trends in the data while revealing nothing about any individual
NewsLab news
A master's student won the Ryuta Funakoshi Award for research on protein 3D structure comparison algorithms
A paper from the lab was selected for the IPSJ Transactions on Bioinformatics Outstanding Paper Award of the Information Processing Society of Japan
A student won the Student Encouragement Award from the Special Interest Group on Bioinformatics of the Information Processing Society of Japan
A master's student received the Outstanding Paper Award in the Student Awards of the Institute of Medical Science, the University of Tokyo
ResearchResearch themes
The lab researches and develops medical data informatics technologies to accelerate medical science research in the era of personalized genomic medicine, including clinical sequencing. Aiming to bring innovation to this field by introducing new approaches, the lab pursues research from two sides: applications to bioinformatics and the foundations of information science.
*Illustrative imageBig Data Research for Medicine and Biology
To search medical science and molecular biology databases that keep growing in size, the lab builds foundations in information science: faster and more accurate search, privacy-preserving secure search, and search on compressed data. This requires broad fundamental research, including combinatorial pattern matching, graph theory, computational complexity theory, and discrete mathematics.
*Illustrative imagePrivacy Protection for Trustworthy Research
Genome data is often called the ultimate personal data. To create an environment where patients can provide their data with confidence and researchers can use it with confidence, the lab studies anonymization techniques such as differential privacy, as well as secure computation techniques such as Oblivious RAM and fully homomorphic encryption.
*Illustrative imageArtificial Intelligence to Accelerate Personalized Medicine
In many bioinformatics problems, including cancer factor analysis, a major challenge is how to gain new knowledge from huge amounts of data. The lab also uses the latest artificial intelligence technologies, such as deep learning and large language models, to take medical data research to the next level.
*Illustrative imageResearch for Advanced Medical Data Informatics
The lab also works on research in advanced bioinformatics and algorithms, research applying it to clinical sequencing and personalized medicine, and research on the information infrastructure technologies that support advanced medical data informatics.
MembersFaculty
Shibuya Lab members consist of faculty, doctoral and master's students, project researchers, technical specialists, lab administrative staff, and visiting researchers.As of 2026
- ProfessorTetsuo ShibuyaPublications ↗
- Project Associate ProfessorAkito Yamamoto
- Assistant ProfessorRobert Daniel Barish
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
Who is this lab for?
What's great about this lab?
What did you learn after joining?
What's the vibe, and what is the professor like?
Where do graduates go?
RelatedLabs similar to Shibuya Lab
Sugiyama-Yokoya-Ishida LabFaculty of Science, Department of Information ScienceEstablishing the foundational theory of machine learning, de…
Takamaeda LabFaculty of Science, Department of Information ScienceResearch on highly efficient and reliable next-generation co…
Ma LabFaculty of Science, Department of Information ScienceEngineering and quality assurance of highly reliable AI syst…
Shinagawa LabFaculty of Science, Department of Information ScienceResearch on system software, including operating systems and…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Pleiades supercomputer racks 2” Oleg Alexandrov / CC BY-SA 4.0 (cropped)
- Big Data Research for Medicine and Biology: “SocialNetworkAnalysis” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Privacy Protection for Trustworthy Research: “Шифровальный диск 1865” A.M. Photo-Litho. CO. N.Y. (Osborne's Process) / Public domain (cropped)
- Artificial Intelligence to Accelerate Personalized Medicine: “Artificial Intelligence Concept Art” Wikimedia Commons / CC BY-SA 4.0 (cropped)
- Research for Advanced Medical Data Informatics: “XBio illustration – DNA Replication” explorebiology / CC BY 4.0 (cropped)
- Related lab (Sugiyama-Yokoya-Ishida Lab): “T-SNE Embedding of MNIST” Kyle McDonald / CC BY 2.0 (cropped)
- Related lab (Takamaeda Lab): “5C2A5953R - – Silicon Wafer 20200519” Rob Bulmahn / CC BY 2.0 (cropped)
- Related lab (Ma Lab): “Unmarked Nissan Rogue - Possible Test Autonomous Vehicle - San Francisco, May 2025 04” 9yz / CC BY 4.0 (cropped)
- Related lab (Shinagawa Lab): “Alx source snippet” Tino / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.