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287 labs · 116 student voices
Faculties at The University of Tokyo ›
Hiroyuki Isobe, Professor
Chemistry & Catalysis0 student voices
The Spectral Chemistry Research Center studies the states of electrons and magnetism inside materials using spectroscopy with light and X-rays. At its core is research that uses synchrotron radiation to measure magnetic states element by element, and clarifies how magnetic properties are determined at interfaces where different materials meet. The center also studies how to measure blood cells by combining high-speed optical imaging with deep learning. It grew out of the Spectroscopic Chemistry Center, founded in 1976, and while collaborating with the labs of the Department of Chemistry, it also manages and operates shared spectroscopic instruments.
Ishitani Harurou, Project Professor
Chemistry & Catalysis0 student voices
The Green and Sustainable Chemistry Social Cooperation Lab studies chemical synthesis processes that place a low burden on the environment (green synthesis). To use such synthesis in industry, many challenges must be solved, including developing new catalysts, recycling systems, raw materials and products, and addressing cost issues. With the cooperation of companies, the lab conducts research and education through a framework that links basic chemistry to the chemical industry, and it welcomes students and researchers to join. In the news section, a paper is introduced on research that uses continuous-flow synthesis, in which raw materials are reacted while flowing, to produce pharmaceuticals and other products.
Kaoru Yamanouchi, Project Professor
Chemistry & Catalysis0 student voices
The Yamanouchi Lab studies the interaction between light and molecules, and the molecular motion induced by light, through both experiments and theory. It is particularly interested in how chemical bonds break and form in laser light so intense that it rivals the electric fields inside molecules (intense laser fields), and in how molecules interact with extremely short light pulses lasting attoseconds to femtoseconds. The lab aims to create methods for controlling molecules and reactions with highly designed light pulses. Recently, it has also published results from calculations using quantum computers.
Hiroyuki Isobe, Professor
Chemistry & Catalysis0 student voices
The Isobe Lab works in the field of "physical organic chemistry," exploring the connection between physics and chemistry through the language of molecules. Building on the design and synthesis of molecules, the lab seeks to open up fields at the boundary with nanoscience and materials science. A representative subject of study is "nanocarbon molecules," synthesized aromatic molecules that mimic the shapes of nanocarbons such as carbon nanotubes. The lab also works on developing new methodologies and delivering tools and materials that can be used in other research as well.
Hiroaki Suga, Professor
Chemistry & Catalysis0 student voices
The Suga Lab brings the ideas and techniques of organic chemistry into biology to take on research problems that have been difficult to solve. The lab artificially creates RNA with catalytic activity (ribozymes) and uses them to reprogram the genetic code, synthesizing peptides that contain amino acids not found in nature. Building on this technology, the lab has developed a system for discovering special peptides that can serve as starting points for drugs. The lab pursues research in balance: science that builds new concepts, widely applicable biotechnology, and drug discovery.
Hirofumi Kunitomo, Associate Professor
Bio & Life Sciences0 student voices
The Kunitomo Group studies which genes underlie nervous system functions such as perception and learning. The group investigates how the nematode C. elegans changes its behavior in response to its surrounding environment. Using a variety of methods from genetics and neuroscience, the group aims to clarify the mechanisms of chemosensation and learning at the molecular and cellular levels.
Ichigaku Takigawa, Professor
AI & Machine Learning0 student voices
The Takigawa Lab conducts research to create "new information science" that helps us understand life. The lab does no experiments and is a 100% dry lab, doing all of its research computationally. The lab designs machine learning and machine discovery algorithms for complex data that cannot be represented by numbers alone, such as metabolism, chemical reactions, and three-dimensional structures. It is a new lab that started in April 2025, and it accepts undergraduate thesis students from the Department of Bioinformatics and Systems Biology.
Koji Tsuda, Professor
AI & Machine Learning0 student voices
Tsuda Lab studies the theory of machine learning, data mining, and statistical science. The lab applies this theory to a wide range of fields, including molecular biology, protein science, organic chemistry, and materials science. In collaboration with experimental researchers at institutions such as the National Institute for Materials Science (NIMS) and RIKEN, the lab works on developing new molecules and materials.
Yutaka Suzuki, Professor
Bio & Life Sciences0 student voices
The Suzuki Lab uses next-generation sequencers to read large amounts of genetic data and study diseases and the mechanisms of life. The lab works on cancer, long-read DNA analysis, spatial transcriptomics (analysis that identifies where genes are active within tissue), and infectious diseases and immunity, among other topics. The lab also studies gene activity in the bodies of healthy people, with the aim of rethinking the concepts of "health" and "mibyō" (the pre-disease state). The lab seeks to understand how genetic mutations affect the way genes function, by modeling this through both experiments and computation.
Tatsuhiko Tsunoda, Professor
Bio & Life Sciences0 student voices
The Tsunoda Lab aims to overcome diseases such as cancer by studying how diseases are related to biological phenomena such as immunity. The lab analyzes huge volumes of biomolecular data obtained from many clinical specimens using methods such as deep learning and quantum computing. The lab finds new causes of disease, reconstructs the relationships among those causes as a network, and thereby understands the mechanisms of disease as a whole. The lab places more emphasis on analytical methodology than on experiments, and attracts a diverse mix of people, including clinicians, researchers who love mathematics, and international researchers.
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