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Hamada Lab
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A bioinformatics lab that analyzes life science data using information science.
AboutAbout the lab
Driving breakthroughs in life science and medical research with information science
The Hamada Lab studies bioinformatics technologies that are useful for life science and medical research.
Using methods such as information science, statistics, and machine learning, the lab analyzes biological big data such as genomes and proteins.
These technologies are expected to be useful for next-generation drug discovery and medicine.
Key terms
- Bioinformatics
- An interdisciplinary field that uses methods such as information science and statistics to solve problems in biology and medicine
- Genome
- The entirety of an organism's genetic information
- Machine learning
- A technology that lets computers themselves learn rules and patterns from large amounts of data
NewsLab news
New method developed to detect genes that are key to cell state transitions
Collaborative research involving Prof. Hamada elucidates the physiological aging mechanism of the brain
Technology developed that uses AI to make RNA aptamer drug discovery more efficient
Collaborative research involving Prof. Hamada develops a new technology that increases the efficiency of protein production by microorganisms
International collaborative research involving Prof. Hamada elucidates the mechanism that maintains telomere DNA across generations
ResearchResearch themes
The Hamada Lab studies bioinformatics, which uses information science to solve problems in life science and medicine. The lab develops theories and algorithms for analyzing biological big data such as genomes, and applies them to drug discovery.
*Illustrative imageRNA aptamer drug discovery
This research concerns RNA aptamer drug discovery, in which RNA itself is designed as a drug. The lab also researches information technologies that accelerate this drug discovery.
*Illustrative imageRNA-targeted drug discovery
The lab is developing a pipeline that finds candidate RNA targets for drug discovery from public databases. It also researches AI systems that predict targets based on the collected data.
*Illustrative imagemRNA therapeutics research
The lab uses information science to design mRNA sequences that improve translation efficiency and stability.
MembersFaculty
The members of the Hamada Lab consist of faculty members, researchers, visiting researchers, contract researchers, research assistants, secretaries, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorMichiaki Hamada
VoicesStudent voices
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Takahiko LabSchool of Advanced Science and Engineering, Department of Electrical Engineering and BioscienceMolecular sensor devices, piezoelectric devicesThe 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: “Ion Proton Sequencers, BGI Shenzhen” Scotted400 / CC BY 3.0 (cropped)
- RNA aptamer drug discovery: “Spinach (RNA)” Huang, H., Suslov, N.B., Li, N.S., Shelke, S.A., Evans, M.E., Koldobskaya, Y., Rice, P.A., Piccirilli, J.A. / CC BY-SA 3.0 (cropped)
- RNA-targeted drug discovery: “Gold Pan” Nate Cull / CC BY 2.0 (cropped)
- mRNA therapeutics research: “PaperTapes-5and8Hole” TedColes / Public domain (cropped)
- Related lab (Kondo Lab): “StrassenbahnPantograph” ProhibitOnions / Public domain (cropped)
- Related lab (Okubo Lab): “Lithium-Ion Cell cylindric” RudolfSimon / CC BY-SA 3.0 (cropped)
- Related lab (Kikusato Lab): “City Lights of Asia and Middle East 2016” NASA Earth Observatory / Public domain (cropped)
- Related lab (Takahiko Lab): “CornstarchCymatics cc” Collin Cunningham / CC BY-SA 3.0 (cropped)
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