Salvador de la Torre Gonzalez

Google Summer of Code 2025 Contributor

email: delatorregonzalezsalvador@gmail.com

Education: Mathematics and Computer Engineering, University of Seville, Spain

Ongoing project: Agent-Based Simulation of CAR-T Cell Therapy Using BioDynaMo
Chimeric Antigen Receptor T-cell (CAR-T) therapy has shown great promise in treating hematological cancers by harnessing the immune system to target and eliminate tumor cells. However, its effectiveness in solid tumors remains limited due to challenges such as poor T-cell infiltration, immune suppression, and T-cell exhaustion. This project aims to develop a scalable, agent-based simulation of CAR-T therapy using BioDynaMo, a high-performance, open-source biological simulation platform. The simulation will model key aspects of CAR-T dynamics, including T-cell migration, tumor cell engagement, and the influence of microenvironmental factors like hypoxia, regulatory T-cells, and immunosuppressive cytokines. By simulating various tumor types, including solid tumors and leukemias, the model will explore treatment variables such as CAR-T dosage, timing of administration, and combination strategies like checkpoint inhibitors and cytokine support. The project will deliver a complete and well-documented BioDynaMo-based simulation modeling CAR-T cell therapy, custom analysis scripts for visualizing tumor regression and evaluating CAR-T efficacy, performance benchmarking across therapeutic strategies, and a detailed report summarizing insights and future directions. This approach will provide valuable insights for optimizing CAR-T therapies, particularly in complex tumor microenvironments.

Project Proposal: URL

Mentors: Vassil Vassilev, Lukas Breitwieser

Presentations

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