Ed Chien comes to BU from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT), where he was a Postdoctoral Associate in the Geometric Data Processing group working with Professor Justin Solomon. His research applies tools and insights from differential geometry and topology to solve key problems in graphics, computational engineering, and machine learning. Before MIT, he was a postdoctoral researcher at Bar-Ilan University working with Ofir Weber. He earned his PhD in Mathematics from Rutgers in 2015, and his A.B. in Mathematics & Physics from Dartmouth College in 2009.
Dr. Chien has performed fundamental research characterizing the topology of hexahedral meshes used in Finite Element Method (FEM) modeling and has contributed to several novel machine learning applications of optimal transport. His work aims to further these important lines of research with mathematically rigorous results and computationally effective algorithms. He was an international program committee member for the Eurographics Symposium on Geometry Processing (SGP) in 2019, served as a Program Committee member for the Association for the Advancement of Artificial Intelligence (AAAI) conference in 2020, and as a reviewer for many top tier publication venues. He has published in top venues in his field, including NeurIPS, Eurographics, SIGGRAPH, and SGP.