Boris Landa

Boris Landa is an Assistant Professor of Electrical & Computer Engineering at Yale University. His research focuses on areas related to electrical and computer engineering. He is affiliated with the Electrical Engineering department at Yale University. His profile page provides additional details about his work and contributions to the field.

Boris Landa is a researcher at Yale University with expertise in applied mathematics, signal processing, data science, and machine learning. His work focuses on developing advanced mathematical and computational methods for analyzing complex data structures and signals. Key areas include optimization techniques for data-driven modeling, robust statistical inference, and the application of graph theory to high-dimensional data analysis. His research integrates theoretical insights with practical applications in fields such as biomedical data analysis and signal recovery. Landa's contributions emphasize the development of novel algorithms for handling noisy and heterogeneous data, with a focus on improving the accuracy and efficiency of data-driven models.