LAB LOGA page on LabLog, a review site (not the lab's official page)
Mathematical Biology Lab
Machine-translated · View original
A lab that deciphers the mechanisms of life phenomena using mathematics and data.
AboutAbout the lab
Understanding life phenomena through mathematics
The Mathematical Biology Lab brings the methods of mathematical science and data analysis into biology in order to understand life phenomena.
The lab uses mathematical models and simulations to test what cannot be understood from experimental and observational data alone.
Themes are wide-ranging, including the ecosystems of gut and soil microbiota, analysis of medical data, and bioinformatics using comprehensive gene sequence data.
Mathematics, informatics, and molecular biology are mainly involved, but the field you studied before joining the lab does not matter when you are assigned.
Key terms
- Mathematical model
- A representation of how a phenomenon works using mathematical equations. By changing conditions and calculating, one can examine future behavior
- Microbiota
- A collection of many kinds of microorganisms living together, such as in the gut or in soil
- Bioinformatics
- A field that uses computers to analyze large amounts of biological data, such as gene sequences
NewsLab news
View More ↗ResearchResearch themes
Research centers on mathematical modeling of life phenomena and the development and application of data analysis methods. Through interdisciplinary research, the lab approaches life phenomena from both fundamental and applied sides.
*Illustrative imageReading microbial communities through mathematics
Communities of cells and microbes change through complex interactions among their components, such as bacteria and viruses. The lab expresses the rules of these interactions in mathematical models, and reconstructs how the dynamics of a community arise in order to understand them.
*Illustrative imageExploring mechanisms from data
To grasp the entities that drive changes in microbial communities, the lab analyzes them with data science methods. Using environmental metagenomic data, it aims to identify the rules linking the loss of gut microbiota diversity to the onset of disease.
*Illustrative imageMathematical modeling of evolution
Using mathematical models, the lab examines which kinds of evolution are likely to occur and which are unlikely. It works on genome analysis of wild organisms, speciation theory, and prediction of infectious disease dynamics.
MembersFaculty
The members of the Mathematical Biology Lab consist of faculty, visiting faculty, postdoctoral researchers, doctoral, master's, and undergraduate students, research students, and staff.
- ProfessorShinji Nakaoka
- Assistant ProfessorRyo Yamaguchi
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Mathematical Biology Lab
Reproductive and Developmental Biology Group (Mizushima)Faculty of Science, Department of Biological SciencesBiotechnology (fertilization mechanisms)
Soft Matter Structural Physics LabFaculty of Science, Department of Biological SciencesProperties and functions of soft matter understood from nano…
Structural Biochemistry LabFaculty of Science, Department of Biological SciencesMultifaceted analysis and application of elaborately designe…
Transformative Soft Matter LabFaculty of Science, Department of Biological SciencesCreation of novel functional materials based on fundamental …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: “Ba model 1000nodes” Keiono / CC BY 3.0 (cropped)
- Reading microbial communities through mathematics: “Complex network n25 WS model” user:Sazaedo (ja:user:猪山人) / Public domain (cropped)
- Exploring mechanisms from data: “E. coli Bacteria ( )” NIAID / CC BY 2.0 (cropped)
- Mathematical modeling of evolution: “Female Galápagos medium ground finch” Charles J. Sharp / CC BY-SA 3.0 (cropped)
- Related lab (Reproductive and Developmental Biology Group (Mizushima)): “1 week old Japanese quail chicks 04” BrokenSphere / CC BY-SA 3.0 (cropped)
- Related lab (Soft Matter Structural Physics Lab): “Hidrogela egoera solidoan” Lialore / CC BY-SA 4.0 (cropped)
- Related lab (Structural Biochemistry Lab): “Lysozyme Protein Crystal in Hanging-Drop Crystallization” Rohit Sharma / CC BY 4.0 (cropped)
- Related lab (Transformative Soft Matter Lab): “Superabsorber Hydrogel KSG 2906 pK” Petra Klawikowski / CC BY-SA 3.0 (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.