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Kobayashi Lab
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A lab that explores everything from learning theory to molecular robots through the theory of computation.
AboutAbout the lab
Exploring learning and molecular information processing through the theory of computation.
The lab studies the theory and algorithms of machine learning, bioinformatics, and molecular robotics from the standpoint of theoretical computer science.
It works on the problem of learning computational models such as automata from examples, and on algorithms for analyzing the structure of biopolymers such as nucleic acid sequences.
In collaboration with experimental researchers, the lab takes part in a project to build molecular robots.
Students who hope to join the lab for their graduation research are encouraged to meet with the lab and discuss its research in advance.
Key terms
- Automaton
- A model of computation that decides, by fixed rules, whether to accept an input string of symbols
- Secondary structure
- The structure determined when the bases of RNA form hydrogen bonds with each other to make base pairs
- Molecular robot
- A robot built from molecules that implements a mechanism in which sensors gather information from the environment, a circuit transforms it, and an actuator outputs the result
ResearchResearch themes
The lab's research rests on three pillars: learning theory, which finds regularities hidden in data; algorithms for investigating the structure of nucleic acid sequences; and molecular computing, in which molecules perform information processing. Taking molecular computing further, the lab also takes part in a project to build robots out of molecules.
*Illustrative imageTheory of Learning Computational Models from Examples
The lab theoretically studies the problem of learning computational models, such as automatically finding the automaton that corresponds to given examples of accepted and rejected strings. The targets include automata, grammars, and probabilistic computational models.
*Illustrative imageAlgorithms for Analyzing the Structure of Nucleic Acid Sequences
RNA can be viewed as a string of bases, which form base pairs and fold into a secondary structure. In analyzing this structure, which is related to function, the lab researches algorithms that overcome the combinatorial explosion in the number of possible structures.
*Illustrative imageMolecular Computing and Circuits for Molecular Robots
The lab studies making molecules perform information processing. In the field of DNA nanotechnology, research on tiles made of DNA sequences that autonomously form an intended structure is very active. The lab is also involved in research that uses molecular computing to implement the circuits needed to build molecular robots.
MembersFaculty
The lab's members consist of faculty, and doctoral and undergraduate students.
- ProfessorSatoshi Kobayashi
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: “XBio illustration – DNA Origami” explorebiology / CC BY 4.0 (cropped)
- Theory of Learning Computational Models from Examples: “FSM state diagram” Maggyero / CC BY-SA 4.0 (cropped)
- Algorithms for Analyzing the Structure of Nucleic Acid Sequences: “Immobilization of Different Nucleic Acid Structures” Fozs / CC BY-SA 4.0 (cropped)
- Molecular Computing and Circuits for Molecular Robots: “Selfassemble Sierpinski” Dr. Satoshi Murata / CC BY-SA 3.0 (cropped)
- Related lab (Ueno Lab): “Bayesian network” Sachs K, Gifford D, Jaakkola T, Sorger P, Lauffenburger DA. / CC BY-SA 4.0 (cropped)
- Related lab (Okamoto Lab): “Shopping online with bank card” Bogdan Hoyaux / European Commission / CC BY 4.0 (cropped)
- Related lab (Wakatsuki Lab): “Timed automata” Portbinder / CC0 (cropped)
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