北京雁栖湖应用数学研究院

Sheaves, which are prominent objects in geometry, topology, and algebra, have emerged numerous times in engineering over the past
decades, including—but not limited to—information theory, data fusion, decentralized optimization, point cloud analysis, and deep learning.
After motivating the use of sheaves in engineering, particularly for interacting systems, and demonstrating their applications in data
science, the speaker will present work starting from his PhD that illustrates how they naturally arise in statistical mechanics and
energy-based modeling, leading to their application in computational biology.