Luca Daniel is a professor of electrical engineering and computer science, a principal investigator in the Research Laboratory of Electronics (RLE) and a core faculty in the Microsystems Technology Laboratories (MTL). His research interests include development of numerical techniques related to integral equation solvers, parameterized model order reduction, uncertainty quantification, inverse problems and robust optimization. His current applications include radio frequency (RF) circuits, silicon photonics, microelectromechanical devices, magnetic resonance imaging scanners, and robustness of deep neural networks. He has received best-paper awards from several Institute of Electrical and Electronics Engineers (IEEE) journals, including Transactions on Power Electronics, Transactions on Computer Aided Design, and Transactions on Components and Manufacturing. His work has also received 13 conference best-paper awards. Other honors include the IBM Corporation Faculty Award, the IEEE Early Career Award in Electronic Design Automation, and the Ruth and Joel Spira Award for Excellence in Teaching from the MIT School of Engineering. He also received best PhD thesis awards from both the Department of Electrical Engineering and Computer Sciences and the Department of Applied Mathematics at the University of California at Berkeley, as well as the Outstanding PhD Dissertation Award in Electronic Design Automation from the Association for Computing Machinery (ACM). He received a PhD in electrical engineering and computer science from UC Berkeley.