Graduate with First-Class Honors in Biomedical Engineering from Christian University. I specialize in bridging the gap between network systems engineering and complex biological dynamics using computer-simulated environments.
An advanced in-silico simulation platform powered by the Mesa 2.3.0 multi-agent architecture. This project transfers non-linear paradigms from Quantitative Financial Modeling to explore cell-to-cell interaction networks within the Tumor Microenvironment (TME).
- Key Features: Stochastic clonal mutations, adaptive chemical gradient diffusionMatrices (IFN-γ / TGF-β), and an autonomous heuristic AI Doctor agent (
DirectorAgent) executing clinical protocols. - Extensibility: Engineered framework built to be scalable for simulating Autoimmune Pathologies and global hyperinflammatory cascades (Sepsis).
- Domain Expertise: Systems Biology, Tumor Microenvironment Kinetics, Software Telemetry Pipelines.
- Programming & Tools: Python (Mesa, Pandas, Numpy, Matplotlib, Seaborn), R, SQL.
- Upcoming Research Focus: Transitioning heuristic modeling architectures toward deep learning frameworks like MONAI and Deep Reinforcement Learning (DQN) for optimal therapeutic discovery.
- 💻 Core Developer of
ImmuneNet-SimIn-Silico Screening Platform. - 📊 Engineered headless trial automation pipelines for high-throughput batch experiments.
📬 Feel free to explore my repositories or contact me regarding potential computational research collaborations!