Bridging the gap between In Vivo complexity and In Silico precision.
I am a dual-qualified professional combining clinical medical expertise with advanced software engineering. My work focuses on High-Performance Computing (HPC) applied to computational biology, aiming to solve complex physiological problems using GPU-accelerated simulations and Artificial Intelligence.
I am architecting a high-performance simulation engine designed to model biological systems across multiple scales—from molecular reactions and cell signaling to tissue mechanics and organ function.
This framework acts as a comprehensive Reinforcement Learning (RL) Gym, creating a closed-loop system where multi-scale biological simulations are continuously validated and fine-tuned using real-world data obtained from laboratory experiments.
- Languages:
- Compute & Graphics:
- Domain: Computational Biology, Reinforcement Learning, Multi-Agent Systems, Precision Oncology.
- Build Systems:
- GPU-Accelerated Simulation: Leveraging Vulkan Compute for massive parallelization of biological agents.
- AI in Medicine: Using RL agents to optimize therapeutic strategies in simulated environments.
- Systems Biology: Understanding emergent behavior in tissues through discrete modeling.