Biophysical modeling is a research area that involves the mathematical and computational modeling of biological systems at different scales, to understand and predict their behavior. This interdisciplinary field integrates principles from physics, chemistry, biology, and mathematics to create models that can simulate the biophysical processes occurring within living organisms or in complex biological systems. Biophysical models can range from simple representations of individual molecules to more complex simulations of entire cells or organisms. These models are used to study a wide range of biological phenomena, including protein folding, cell signaling, neuronal dynamics, and the interactions between organisms and their environment. By combining experimental data with theoretical modeling, researchers can gain valuable insights into the underlying physical principles governing biological systems and design experiments to test theoretical predictions. Overall, biophysical modeling is a powerful tool for advancing our understanding of complex biological processes and systems.