Ziwei Yang, Ph.D.

Hi, I’m Ziwei Yang. I am a Researcher at the Bioinformatics Center, Institute for Chemical Research, Kyoto University, and a Bioinformatics Scientist at Keiji AI.

I work at the intersection of computational biology and artificial intelligence, developing AI systems for understanding, modeling, and engineering biological systems.

My research connects two directions:

  • Mechanistic Biological Modeling — combining genome-scale models, biological knowledge, and data-driven learning to model and engineer complex biological systems.
  • AI Agents for Scientific Discovery — developing intelligent agents that integrate multimodal biological data, reason over scientific knowledge, and assist with biomedical research.

Current Focus

Building AI systems that bridge data-driven learning and mechanistic modeling for metabolic engineering and biomedical discovery.

Selected papers

Making Large Language Models Reliable Data Science Programming Copilots for Biomedical Research

Zifeng Wang, Benjamin Danek, Ziwei Yang, Zheng Chen, Jimeng Sun

Nature Biomedical Engineering

Benchmarking 16 LLMs on 293 coding tasks from 39 biomedical studies shows overall accuracy below 40%; an agent that first drafts and iteratively refines an analysis plan reaches 74%.

MLOmics: Cancer Multi-Omics Database for Machine Learning

Ziwei Yang, Rikuto Kotoge, Xihao Piao, Zheng Chen, Lingwei Zhu, Peng Gao, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

Scientific Data

An open cancer multi-omics database for machine learning: 8,314 patients across 32 cancer types with four omics types, stratified feature versions and baseline benchmarks.

Automated Sleep Staging via Parallel Frequency-Cut Attention

Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang

IEEE Transactions on Neural Systems and Rehabilitation Engineering

A Transformer-based sleep staging framework that captures time-frequency patterns in EEG spectrograms, guided by sleep-medicine scoring criteria.

Learning Vector Quantized Representation for Cancer Subtypes Identification

Ziwei Yang, Zheng Chen, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md Altaf-Ul-Amin

Computer Methods and Programs in Biomedicine

Learns vector-quantized representations of omics data to cluster cancer subtypes, addressing sample scarcity and high dimensionality.

Multi-Tier Platform for Cognizing Massive Electroencephalogram

Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang

International Joint Conference on Artificial Intelligence (IJCAI)

A multi-tier platform chaining a spiking neural network and a Transformer for EEG sleep staging, reaching 87% overall accuracy from EEG alone on datasets of up to 42,560 hours from 5,793 subjects.

All papers →

All papers

2026

  1. Nat. Biomed. Eng.
    Making Large Language Models Reliable Data Science Programming Copilots for Biomedical Research Zifeng Wang, Benjamin Danek, Ziwei Yang, Zheng Chen, Jimeng Sun Nature Biomedical Engineering, 2026
  2. Nat. Mach. Intell.
    Empowering Biomedical Evidence Exploration and Synthesis with Deep Knowledge Graph Research Zifeng Wang, Zheng Chen, Ziwei Yang, Xuan Wang, Qiao Jin, Yifan Peng, Zhiyong Lu, Jimeng Sun Nature Machine Intelligence, 2026
  3. IEEE TCBB
    GraphGDel: Constructing and Learning Graph Representations of Genome-Scale Metabolic Models for Growth-Coupled Gene Deletion Prediction Ziwei Yang, Takeyuki Tamura IEEE Transactions on Computational Biology and Bioinformatics, 2026
  4. AAAI
    Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai Proceedings of the AAAI Conference on Artificial Intelligence, 2026

2025

  1. Sci. Data
    MLOmics: Cancer Multi-Omics Database for Machine Learning Ziwei Yang, Rikuto Kotoge, Xihao Piao, Zheng Chen, Lingwei Zhu, Peng Gao, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun Scientific Data, 2025
  2. ICLROral
    GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun International Conference on Learning Representations (ICLR), 2025
  3. IEEE TCBB
    DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models Ziwei Yang, Takeyuki Tamura IEEE Transactions on Computational Biology and Bioinformatics, 2025
  4. IEEE TCBB
    DeepGDel: Deep Learning-Based Gene Deletion Prediction Framework for Growth-Coupled Production in Genome-Scale Metabolic Models Ziwei Yang, Takeyuki Tamura IEEE Transactions on Computational Biology and Bioinformatics, 2025

2024

  1. IEEE TNB
    Strategic Multi-Omics Data Integration via Multi-Level Feature Contrasting and Matching Jinli Zhang, Hongwei Ren, Zongli Jiang, Zheng Chen, Ziwei Yang, Yasuko Matsubara, Yasushi Sakurai IEEE Transactions on NanoBioscience, 2024

2023

  1. IEEE TNSRE
    Automated Sleep Staging via Parallel Frequency-Cut Attention Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
  2. CMPB
    Learning Vector Quantized Representation for Cancer Subtypes Identification Ziwei Yang, Zheng Chen, Lingwei Zhu, Peng Gao, Takashi Matsubara, Shigehiko Kanaya, Md Altaf-Ul-Amin Computer Methods and Programs in Biomedicine, 2023
  3. CIKM
    MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling Ziwei Yang, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai ACM International Conference on Information and Knowledge Management (CIKM), 2023
  4. Methods
    Sleep Staging Framework with Physiologically Harmonized Sub-Networks Zheng Chen, Ziwei Yang, Dong Wang, Xin Zhu, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang Methods, 2023
  5. BIBM
    MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics Data Zongli Jiang, Hongwei Ren, Ziwei Yang, Jinli Zhang, Zheng Chen IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023

2022

  1. ECML-PKDD
    Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization Zheng Chen, Lingwei Zhu, Ziwei Yang, Takashi Matsubara Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2022
  2. IJCAI
    Multi-Tier Platform for Cognizing Massive Electroencephalogram Zheng Chen, Lingwei Zhu, Ziwei Yang, Renyuan Zhang International Joint Conference on Artificial Intelligence (IJCAI), 2022
  3. BIBM
    Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks Haohui Jia, Ziwei Yang, Pei Gao, Man Wu, Chen Li, Yirong Kan, Renyuan Zhang IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
  4. EMBC
    Adaptive Spike-Like Representation of EEG Signals for Sleep Stages Scoring Lingwei Zhu, Ziwei Yang, Koki Odani, Guang Shi, Yirong Kan, Zheng Chen, Renyuan Zhang International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
  5. BIBM
    Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
  6. EMBC
    Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data Ziwei Yang, Lingwei Zhu, Zheng Chen, Ming Huang, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
  7. HPCC
    Exploring the Feasibility of Transformer Based Models on Question Relatedness Honglin Shu, Pei Gao, Ziwei Yang, Chen Li, Man Wu IEEE International Conference on High Performance Computing & Communications (HPCC), 2022

2021

  1. BIBM
    An End-to-End Sleep Staging Simulator Based on Mixed Deep Neural Networks Zheng Chen, Ziwei Yang, Dong Wang, Ming Huang, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
  2. BIBM
    Exploring Feasibility of Truth-Involved Automatic Sleep Staging Combined with Transformer Ziwei Yang, Dong Wang, Zheng Chen, Ming Huang, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021

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News

  • CrossGapFilling, a context-aware hypergraph neural network for cross-species metabolic network gap-filling (from my previous internship at Chugai Pharmaceutical), presented at ISCB-AI 2026.
  • Co-authored paper on deep knowledge graph research for biomedical evidence exploration and synthesis published in Nature Machine Intelligence.
  • Joined Keiji AI as a Bioinformatics Scientist.
  • Received my Ph.D. in Informatics from Kyoto University.
  • Paper on targeted pathway inference for biological knowledge bases published in the AAAI 2026 proceedings.
  • Co-authored paper on making LLMs reliable data-science programming copilots published in Nature Biomedical Engineering.
  • Gene-deletion prediction frameworks DBgDel, DeepGDel and GraphGDel published in IEEE/ACM TCBB.
  • MLOmics, a cancer multi-omics database for machine learning, published in Scientific Data.
  • GeSubNet presented as an Oral at ICLR 2025.