diff --git a/_data/contributors.yml b/_data/contributors.yml index 46c6dedf..bb30f90b 100644 --- a/_data/contributors.yml +++ b/_data/contributors.yml @@ -262,6 +262,40 @@ proposal: /assets/docs/Aditya_Pandey_GSoC2025.pdf mentors: Martin Vassilev, Jonas Rembser, Fons Rademakers, Vassil Vassilev +- name: Salvador de la Torre Gonzalez + info: "Google Summer of Code 2025 Contributor" + photo: salva_de_la_torre_gonzalez.jpg + email: delatorregonzalezsalvador@gmail.com + github: "https://github.com/salva24" + linkedin: "https://www.linkedin.com/in/salva-de-la-torre-gonzalez-7299b6335/" + education: "Mathematics and Computer Engineering, University of Seville, Spain" + active: 1 + projects: + - title: "Agent-Based Simulation of CAR-T Cell Therapy Using BioDynaMo" + status: Ongoing + description: | + 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. + proposal: /assets/docs/de_la_torre_gonzalez_salvador_proposal_gsoc_2025.pdf + mentors: Vassil Vassilev, Lukas Breitwieser + - name: "This could be you!" photo: rock.jpg info: See openings for more info diff --git a/_pages/team/salvador-delatorre.md b/_pages/team/salvador-delatorre.md new file mode 100644 index 00000000..b4df37b8 --- /dev/null +++ b/_pages/team/salvador-delatorre.md @@ -0,0 +1,10 @@ +--- +title: "Compiler Research - Team - Salvador de la Torre Gonzalez" +layout: gridlay +excerpt: "Compiler Research: Team members" +sitemap: false +permalink: /team/SalvadorDeLaTorreGonzalez +email: delatorregonzalezsalvador@gmail.com +--- + +{% include team-profile.html %} \ No newline at end of file diff --git a/_posts/2025-05-14-biodynamo-cart-simulation.md b/_posts/2025-05-14-biodynamo-cart-simulation.md new file mode 100644 index 00000000..208afc33 --- /dev/null +++ b/_posts/2025-05-14-biodynamo-cart-simulation.md @@ -0,0 +1,64 @@ +--- +title: "Agent-Based Simulation of CAR-T Cell Therapy Using BioDynaMo" +layout: post +excerpt: "This GSoC 2025 project, Agent-Based Simulation of CAR-T Cell Therapy, aims to develop a BioDynaMo-based model to simulate CAR-T cell dynamics and interactions. The goal is to provide researchers with a tool to evaluate therapy efficacy and identify strategies to enhance treatment outcomes." +sitemap: true +author: Salvador de la Torre Gonzalez +permalink: blogs/gsoc25_salvador_introduction_blog/ +banner_image: /images/blog/gsoc-banner.png +date: 2025-05-14 +tags: gsoc BioDynaMo c++ +--- + +### Introduction + +I am Salvador de la Torre Gonzalez, a Mathematics and Computer Engineering student from the University of Seville, and a Google Summer of Code 2025 contributor who will be working on "Agent-Based Simulation of CAR-T Cell Therapy Using BioDynaMo project. + +**Mentors**: Vassil Vassilev, Lukas Breitwieser + +### Briefly about CAR-T Cell Therapy and BioDynaMo + +Chimeric Antigen Receptor T-cell (**CAR-T**) therapy is a promising immunotherapy that reprograms a patient’s T-cells to recognize and eliminate cancer cells. While CAR-T has achieved remarkable success in blood cancers, its efficacy in solid tumors remains limited due to factors such as poor T-cell infiltration, immune suppression, and T-cell exhaustion. + +This project will be built on **BioDynaMo**, an open-source, high-performance simulation engine for large-scale agent-based biological modeling. BioDynaMo provides an efficient framework for modeling cellular dynamics and complex microenvironments at scale, making it ideally suited for simulating CAR-T therapies under diverse tumor conditions. + +The simulation will capture essential components of CAR-T behavior, including T-cell migration, tumor cell engagement, and the influence +of microenvironmental factors like hypoxia, regulatory T-cells, and immunosuppressive cytokines. The goal is not only to provide the simulation, but also custom analysis scripts for visualizing and testing how therapy parameters influence treatment outcomes. + +### Why I Chose This Project + +This project represents an exciting opportunity to apply my dual academic background in mathematics and computer engineering to a highly impactful domain: cancer immunotherapy. + +My interest in oncology and CAR-T treatments deepened significantly after attending a course on Mathematical Modeling and Data Analysis in Oncology, taught by researchers from the Mathematical Oncology Laboratory" ([MôLAB](https://molab.es/)) team at the University of Cádiz. During this course, I was introduced to the fundamentals of immunotherapy and CAR-T cell dynamics, and became fascinated by the potential of mathematical and computational tools to contribute to this area. + +I believe that building a scalable, open-source simulation of CAR-T therapy can become a valuable resource for scientists and clinicians worldwide, helping them to better understand and optimize treatment strategies considering the complex landscape of solid tumors. + +### Implementation Details and Plans + +This project will develop a scalable agent-based simulation of CAR-T therapy using BioDynaMo. The simulation will include: + +- T-cell migration, proliferation, and tumor cell killing, +- Simulation of both solid tumors and hematological cancers, +- Modeling of tumor microenvironment components such as: + - Hypoxia, + - Regulatory T-cells, + - Immunosuppressive cytokines, +- Development of custom scripts for: + - Visualizing tumor progression/regression, + - Quantifying CAR-T efficacy, +- Exploration of therapy strategies including: + - CAR-T dosage and administration timing, + - Performance benchmarking for different therapeutic scenarios. + +A modular architecture will ensure that the simulation is extensible and reusable in future studies. Insights gained from these simulations will be summarized in a comprehensive report including replication of real data and comparison between treatment strategy results. + +### Conclusion + +By building a BioDynaMo-based model of CAR-T cell therapy, we aim to provide a flexible and high-performance tool for exploring treatment strategies in complex tumor environments. This is really valuable work for the community since it could help identify conditions that enhance CAR-T efficacy, contributing to improved design of immunotherapies. + + +### Related Links + +- [Project Description](https://hepsoftwarefoundation.org/gsoc/2025/proposal_BioDynamo-CART.html) +- [BioDynaMo Repository](https://github.com/BioDynaMo/biodynamo) +- [My GitHub Profile](https://github.com/salva24) \ No newline at end of file diff --git a/assets/docs/de_la_torre_gonzalez_salvador_proposal_gsoc_2025.pdf b/assets/docs/de_la_torre_gonzalez_salvador_proposal_gsoc_2025.pdf new file mode 100644 index 00000000..9dc3d44b Binary files /dev/null and b/assets/docs/de_la_torre_gonzalez_salvador_proposal_gsoc_2025.pdf differ diff --git a/images/team/salva_de_la_torre_gonzalez.jpg b/images/team/salva_de_la_torre_gonzalez.jpg new file mode 100644 index 00000000..ac29c418 Binary files /dev/null and b/images/team/salva_de_la_torre_gonzalez.jpg differ