Yale School of Engineering & Applied Science Faculty Spotlight Daniel Spielman Sterling Professor of Computer Science, Statistics and Data Science and Mathematics and Applied Mathematics Daniel Spielman's research interests include the design and analysis of algorithms, graph theory, machine learning, error-correcting codes and combinatorial scientific computing. His focuses on the development of extremely fast algorithms for large computational problems often found in machine learning, scientific computing, and optimization. His work has broad application in the transfer of digital information. News Yale scientists build artificial cells to measure energy flow in living systems Living systems are defined by a continuous flow of energy, which is essential for physical development, wound healing, and our immune response to diseases like cancer.But measuring the... more »