Short Biography
Jiayu Zhou is an assistant professor in the Department of Computer Science and Engineering at Michigan State University. His research spans large-scale machine learning, data mining, and biomedical informatics, with an emphasis on multi-task learning and knowledge integration.
Before joining MSU, Jiayu was a staff research scientist at Samsung Research America, where he worked on applied machine learning problems. He received his Ph.D. in Computer Science from Arizona State University in 2014.
Jiayu is affiliated with the ILLIDAN Lab and his work has been supported by the National Science Foundation. His publications appear in top-tier venues including KDD, and he regularly contributes to the research community through workshop organization and open-source software development.
Contact
Email
jiayuz@0xmachine.com
Office
Engineering Building 2134
Mail
428 S Shaw Ln Rm 3115
East Lansing, MI 48824
Research Interests
Jiayu Zhou's research focuses on developing scalable machine learning algorithms that can handle the challenges of big data analytics. Key areas include:
- Large-scale machine learning — building models that scale to massive, high-dimensional datasets.
- Multi-task learning — leveraging shared structure across related tasks to improve generalization.
- Biomedical informatics — applying machine learning to disease progression modeling and clinical data analysis.
- Interactive knowledge integration — incorporating domain expertise from human experts into learning systems.
Education & Career
| Period | Position |
|---|---|
| Present | Assistant Professor, Computer Science and Engineering, Michigan State University |
| 2014 – Present | Staff Research Scientist, Samsung Research America (prior to MSU) |
| 2014 | Ph.D. in Computer Science, Arizona State University |