Description
Back to topIn recent decades, mathematical biology has achieved remarkable progress in modeling living systems, yet the diversity and complexity of biological processes continue to pose deep challenges. Advances in experimental techniques now provide unprecedented data across molecular, cellular, and ecological scales. To transform these data into understanding requires new generations of mathematical models and analytical tools.
This workshop will bring together researchers to highlight biological phenomena in which partial differential equations have enabled novel applications. Recognizing the breadth and diversity of modern mathematical biology, the program will be organized around five central application areas: (i) Neuroscience, (ii) Ecology, (iii) Pattern Formation, (iv) Cell Motion, and (v) Physiology. Attendees will examine the analytical challenges and unifying mathematical themes that emerge from these contexts, and to foster interdisciplinary dialogues.