Luca Daniel

Luca Daniel is a Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Research Laboratory of Electronics (RLE) and the Department of Electrical Engineering and Computer Science. His research focuses on computational modeling, simulation, and design of complex systems, with applications in electronics, biomedical engineering, and machine learning. He leads the Computational Prototyping Group, which develops algorithms and software for model order reduction, integral equation solvers, and uncertainty quantification.

Professor Daniel holds a Ph.D. from the University of California, Berkeley (2003), and has authored numerous influential papers in top conferences and journals. His work has been recognized with awards such as the APS Best Paper Award (2023), EPEPS Best Conference Paper Award (2020), and the ACM Outstanding Ph.D. Dissertation Award in EDA (2016).

His research interests include electromagnetic simulation, biomedical systems, stochastic methods, and machine learning robustness. He has advised over 20 PhD students and developed open-source tools like FastMaxwell and CAPLET for electromagnetic analysis. His teaching spans courses on modeling, simulation, signals and systems, and numerical methods.