LAB LOGA page on LabLog, a review site (not the lab's official page)
Data-Driven Science Lab
Machine-translated · View original
A data-driven science lab that extracts the rules hidden behind data.
AboutAbout the lab
Extracting the rules hidden in data with machine learning
The Igarashi Lab studies data-driven science, which extracts the rules hidden behind natural science data from fields such as materials science, disaster prevention science, and neuroscience.
Using machine learning methods such as sparse modeling and Gaussian processes, the lab conducts joint research with universities, companies, and national research institutes.
The lab places at the center of its research sparse modeling, which extracts information on the premise that the important explanatory variables are few (sparse).
The lab was founded in March 2020. The information on its website dates from around 2020.
Key terms
- Sparse modeling
- A method that extracts essential information from data on the premise that the important explanatory variables are few (sparse).
- Data-driven science
- An approach to research that extracts the information hidden in data without arbitrariness and deepens the understanding of the natural sciences.
- Materials informatics
- An approach that makes materials development more efficient through data analysis.
ResearchResearch themes
Through data-driven science, the lab aims to extract the rules hidden behind data and to understand the natural sciences more deeply. In fields such as materials science, disaster prevention science, and neuroscience, it works on making the development of lithium-ion batteries and nanomaterials more efficient (materials informatics) and on improving the accuracy of algorithms for real-time tsunami height prediction.
View More ↗
MembersFaculty
The members of the Igarashi Lab consist of faculty, master's and undergraduate students, and research students.
- Associate ProfessorYasuhiko Igarashi
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 Data-Driven Science Lab
Mathematical Informatics LabSchool of Informatics, College of Information ScienceMastering mathematical modeling; connecting the real world a…
Applied Mathematical Systems LabSchool of Informatics, College of Information ScienceMastering control of systems at will: exploring modeling, an…
Natural Language Processing on the Web LabSchool of Informatics, College of Information ScienceManipulating language data, from theory to Web applications …
Frog LabSchool of Informatics, College of Information ScienceCalling all animal lovers! Mathematical modeling of dynamic …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: “18 column periodic table, with Lu and Lr in group 3” Sandbh / CC BY-SA 4.0 (cropped)
- Data-Driven Science with Sparse Modeling: “A Hilger and Watts Y290 four-circle X-ray diffractometer” Prof. David J. Watkin / CC BY-SA 4.0 (cropped)
- Related lab (Mathematical Informatics Lab): “Galileo supercomputer rack” CINECA / CC BY 2.0 (cropped)
- Related lab (Applied Mathematical Systems Lab): “Engine Control Room Harmony of the Seas 2026” Larry D. Moore / CC BY 4.0 (cropped)
- Related lab (Natural Language Processing on the Web Lab): “Vecteezy stack-of-newspaper 1961329” Bernerlover / CC BY 4.0 (cropped)
- Related lab (Frog Lab): “HylaArboreaCallingMale2” Christian Fischer / 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.