Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-15

H. W. Hays

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Postdoctoral Research Associate

Also affiliated: Ministry of Education of the People's Republic of China (2023); Princeton University (1936–1945); Washington College (1938); Applied BioMath (United States) (2023); Ministry of Agriculture and Agro Based Industry (2023); Ministry of Agriculture and Rural Affairs (2023); Ocean University of China (2023); University of Colombo (2023)

Postdoc Researcher

12 h-index 36 pubs 330 cited

  • Iron
  • Animals
  • Iron Deficiencies
  • Flatfishes
  • Transcriptome
  • Adrenal Cortex
  • Desoxycorticosterone
  • Glucosides
  • Water
  • Desoxycorticosterone Acetate
  • Anti-Bacterial Agents
  • Helicobacter pylori
  • Helicobacter Infections
  • Drug Resistance, Bacterial
  • Child

Biography and Research Information

OverviewAI-generated summary

H. W. Hays researches computational network modeling and graph neural networks, with a focus on applications in network architecture design, artificial intelligence, and network medicine. Their work integrates computer science, biophysics, nonlinear dynamics, complex systems analysis, and biomathematical modeling to advance precision medicine. Hays applies transformer architectures and graph-structured attention mechanisms to cellular signaling networks, aiming to predict context-dependent biological responses across multiple scales. This approach is used to identify critical regulatory nodes, pathway cross-talk, and potential therapeutic targets by gaining mechanistic insights through attention-based methods.

Further research areas include the utilization of quantum computing and quantum circuits for network optimization. Hays investigates quantum algorithms to solve parameter optimization challenges within signaling networks, seeking to achieve superior global optimization compared to classical computational methods. Their technical expertise includes developing novel computational algorithms for biological systems and employing mathematical modeling techniques such as ordinary differential equations (ODEs) and nonlinear dynamics.

Metrics

  • h-index: 12
  • Publications: 36
  • Citations: 330

Selected Publications

  • Targeted catalytic eradication of antibiotic-resistant Helicobacter pylori by a pH-activated Fe-doped nanozyme (2026)
    Journal of Colloid and Interface Science DOI OpenAlex
  • Hebbian-Oscillatory Co-Learning (2026)
    arXiv (Cornell University) OpenAlex
  • Resonant Sparse Geometry Networks (2026)
    arXiv (Cornell University) OpenAlex
  • Encyclopedia of Large Language Models and Foundation Models (2026)
    Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
  • Encyclopedia of Large Language Models and Foundation Models (2026)
    Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
  • ECMSim: A high-performance interactive web application for real-time spatiotemporal simulation of cardiac ECM signaling and diffusion (2026)
    Matrix Biology Plus DOI OpenAlex
  • Hierarchical Molecular Language Models (HMLMs). (2025)
    PubMed OpenAlex
  • Transcriptome-based nutrigenomics analysis reveals the roles of dietary taurine in the muscle growth of juvenile turbot (Scophthalmus maximus) (2023)
    Comparative Biochemistry and Physiology Part D Genomics and Proteomics 13 citations DOI OpenAlex
  • Synergistic effects of dietary taurine and carbohydrates supplementation on skeleton muscle of juvenile turbot <i>Scophthalmus maximus</i> (2023)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex

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Collaboration Network

15 Collaborators 6 Institutions 2 Countries

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