Biological System

Biological systems research aims to understand the complex interactions within and between living organisms, from molecules to ecosystems. Current efforts focus on developing and refining computational models, including agent-based models, neural networks (especially physically-constrained and interpretable architectures), and generative transformer models, to simulate and predict system behavior, often incorporating uncertainty quantification techniques like conformal inference. These advancements are improving our ability to analyze large biological datasets (e.g., spatial transcriptomics), design efficient experiments (e.g., using digital twins), and ultimately gain deeper insights into biological processes for applications in medicine, bioengineering, and materials science.