March 6, 2025
Our latest paper is now available in the Journal of Computational Science.
📄 Establishing a Massively Parallel Computational Model of the Adaptive Immune Response
🔗 Read the paper here
This work presents a scalable, 3D, distributed parallel model of T-cell priming within a virtual lymph node, enabling high-fidelity simulations of immune responses with 350x speedup on modern HPC clusters. The study also introduces a novel deterministic parallel framework, ensuring reproducibility across processor counts—an essential advancement for large-scale biological simulations.
We are especially proud of Aristotle Martin, the lead author, for his dedication to this project. What began as a class project has evolved into a significant research effort that showcases his ability to bridge computational science and immunology, developing novel methods with broad applications.
Key Contributions:
- Fully deterministic parallel framework for reproducible immune simulations
- Novel distributed random number generation ensuring accuracy across processor counts
- Insights into T-cell-DC interactions and intranodal immune cell motility