Welcome to the Zheng Research Group!

Our group s led by Dr. Zheng Chen, Specially Appointed Associate Professor at SANKEN, Osaka University, part of Sakurai & Matsubara Lab. We combine computer science, biomedical engineering, and bioinformatics to support clinical practice and accelerate biomarker discovery. Our work has produced transformative advances in EEG representation learning for brain dynamics modeling, and computational frameworks for oncology data analysis, and automated analytical workflows. A central theme of our research is to formulate biomedical problems as different solvable machine learning tasks. We leverage deep learning to model complex data and support decision-making, and integrate agentic AI with bioinformatics tools to automate analysis, generate hypotheses, and evaluate results computationally. Our work is grounded in domain knowledge and clinical practice, ensuring translational relevance. Research directions:

  • EEG & Clinical AI system — data representation, brain dynamic modeling, disease prediction, neuromorphic computing.
  • Multi-omics & Drug discovery — omics analysis frameworks, knowledge graph, AI-ready infrastructure, workflow automation.

Read more about our research.

We are always looking for motivated PhD students and remote research assistants (RAs) to join our group! We welcome PhD applicants with backgrounds in computer science, biomedical engineering, or bioinformatics. Current projects include oncology data analysis, metabolic network modeling, bioinformatics pipelines, and R-based analytical workflows. We also welcome collaborations with industry partners in health and biomedical research. Feel free to reach out at chenz@sanken.osaka-u.ac.jp.

RECENT NEWS

27 January 2026

TFM and ODEBrain accepted at ICLR 2026!

22 January 2026

One paper published in Nature Biomedical Engineering! See our Blog and Platform demo!

8 November 2025

ExPath accepted at AAAI 2026!

18 September 2025

EvoBrain accepted at NeurIPS 2025 as Spotlight!

19 May 2025

MLOmics published in Nature Scientific Data!

... see more