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Data Mathematical Science Lab
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The lab uses mathematics to read out chemical reactions and the mechanisms of life from single-molecule observation data.
AboutAbout the lab
Constructing the logic of life from experimental data
The Data Mathematical Science Lab studies the fundamental principles of “state changes,” such as chemical reactions and structural transitions of biomolecules, using mathematical methods.
Grounded in real experimental data, the lab aims to create data-driven mathematical science that does not presuppose a model.
By analyzing single-molecule observation data and microscope images and checking them against natural phenomena, the lab builds up the mechanisms of the hierarchy of living systems.
Together with researchers at other universities, the lab also develops methods for analyzing Raman microscope images and collective cell motion.
Key terms
- Structural transition
- The change of a molecule such as a protein from one shape (structure) to another
- Data-driven
- An approach that finds laws and structures from the measured data themselves, without starting from a hypothesized model
- Raman microscope
- A microscope that produces images showing which molecules are present, where, and in what amounts, based on how light shone on a sample is scattered with a slight change in color
NewsLab news
Visualizing collective cell behavior riding on “waves” of chemical signals (Scientific Reports)
A doctoral student received an Excellence Award at the 2026 Annual Conference of the Japanese Society for Artificial Intelligence
A doctoral student received a Poster Award at the 12th Asian Biophysics Association Symposium 2026
Developed a new method for interpreting spectral images through “spatial connectivity” (Scientific Reports)
ResearchResearch themes
The lab seeks to clarify the fundamental principles of “chance and necessity,” “statistics and selectivity,” and “parts and whole” in state changes such as chemical reactions and structural transitions of biomolecules. It aims to create data-driven mathematical science grounded in real data and to build up the logic of the hierarchy of living systems.
*Illustrative image“Chance and necessity” in state changes
In state changes such as chemical reactions and structural transitions in which proteins change shape, the lab explores the fundamental principles of what happens by chance and what is determined by necessity. It also seeks to clarify the relationships between statistics and selectivity, and between parts and whole.
*Illustrative imageReading life from single-molecule data
Advances in single-molecule measurement have made it possible to directly observe large structural changes in molecules and changes in cells. Based on such single-molecule time-series data, the lab develops theory that bridges top-down approaches that start from the whole picture and bottom-up approaches that build up from molecules.
*Illustrative imageNew methods for analyzing Raman spectroscopic images
The lab develops methods for analyzing images obtained with a Raman microscope that record the types and amounts of molecules. By quantifying the chemical differences between each point and its surroundings, the methods classify tissue and capture disease features and inconspicuous foreign substances (joint research with Osaka University and Kyoto Prefectural University of Medicine).
MembersFaculty
The members of the Data Mathematical Science Lab consist of faculty, secretaries, visiting researchers and research fellows, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTamiki Komatsuzaki
- Associate ProfessorKoji Tabata
- Assistant ProfessorGoro Nishimura
- Assistant ProfessorJizhou Li
- Project Assistant ProfessorMd. Al Mehedi Hasan
- Project Assistant ProfessorUmair UMER
- Project Assistant Professor藤川 昂
VoicesStudent voices
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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: “Dictyostelium discoideum 01” jeff smith / CC BY-SA 4.0 (cropped)
- “Chance and necessity” in state changes: “Protein structure 2K35” Axel Boldt / Public domain (cropped)
- Reading life from single-molecule data: “BMonSphere” Thomas Steiner / CC BY-SA 2.5 (cropped)
- New methods for analyzing Raman spectroscopic images: “Confocal Raman Image of a pharmaceutical emulsion.” Sonjajnos / CC BY-SA 4.0 (cropped)
- Related lab (物理化学研究室): “Nanoscale Plasmonic Resonator Structures ( )” National Institute of Standards and Technology / Public domain (cropped)
- Related lab (量子化学研究室): “Benzene IBO” Alicesu / CC BY-SA 4.0 (cropped)
- Related lab (理論化学研究室): “Potential Energy Surface for Water” AimNature / CC BY-SA 3.0 (cropped)
- Related lab (構造化学研究室): “Human Oxy-Hemoglobin Protein” PDB code 2DN1 1.25 a resolution crystal structures of human haemoglobin in the oxy, deoxy and carbonmonoxy forms. Park, S.-Y., Yokoyama, T., Shibayama, N., Shiro, Y., Tame, J.R. (2006) J Mol Biol 360: 690-701 DOI: 10.1016/j.jmb. Image created using JSmol (Javascript) / CC0 (cropped)
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