my (current) research interests lie in reinforcement learning, multi-agent systems, autonomous vehicles, and computational biology, although my work is often interdisciplinary, and I tend to branch out.
explaniable deep learning & vision for medical image analysis and interpretation.
reinforcement learning for uav stabilization in complex wind; llms for automated simulation testing.
llm optimization for esg systematic reviews (ieee fllm2024 publication)
protein dynamics prediction from language model representations (acm-bcb 2024 poster)