# ILLIDAN LAB #

The Intelligent Data Analytics (ILLIDAN) Lab @ Michigan State University, directed by Prof. Jiayu Zhou, conducts cutting-edge research on machine learning methodologies for big data analytics. The main research theme of ILLIDAN Lab is Convergent Data Science: enhancing decision making for data science through establishing the closed-loop flow of informatics among key components of human, data, and analytics.
For more information [visit the ILLIDAN LAB website ](https://illidanlab.github.io/)
**Focus Areas and Topics**
[[Artificial Intelligence]], [[Data Governance]], [[Digital Public Infrastructure]], [[Data Science]]
**Projects and Programs**
Research: https://illidanlab.github.io/#research
**Funders and Partners**
For more information about the Funders and Partners, please visit [ILLIDAN LAB](https://illidanlab.github.io/)
**People and Careers**
Visit the LinkedIn page to find out more about the [people]() working at ILLIDAN LAB and the [career opportunities]() currently available.
**Languages**
[[English]]
**Classification and Geography**
ILLIDAN LAB is classified as a [[Research Institution]] and has headquarters located in East Lansing, MI, United States. We are still collecting information about the geographic scope of their work.
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>[!info]+ Contact Information and Public Communications Channels
*Website* https://illidanlab.github.io/
*Contact E-mail*
[email protected]
ILLIDAN LAB
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Exported from the Datasphere Observatory Database : 4 April 2025
For more information about the data collection and review processes, please see the Datasphere Atlas [[Methodology]]. If you would like to share information with us to help update this profile, please make a [suggestion](https://docs.google.com/forms/d/e/1FAIpQLSdldzt15HVYekbX1ZyDi-oLiDxozFL-wiAPPmEs3S4IlCRXpQ/viewform) or [[contact our research team]].
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