Dr. Silva is a multidisciplinary data scientist with extensive experience developing algorithms for statistical and machine learning, image analysis, and numerical optimization, mostly working with multimodal neuroimaging data from thousands of subjects. His research interests are multimodal data fusion, statistical and machine learning, neural networks and deep learning, image, video and data analysis, multiobjective, combinatorial and constrained optimization, signal processing, and neuroimaging. He has developed robust generalizations of classical latent variable models like ICA and jICA utilizing statistical independence at a deeper layer of a neural network model. He holds an M.S. in computer engineering (with minors in statistics and in mathematics) and a Ph.D. in computer engineering. He has previously worked as an Engineer, Lecturer, Consultant, and Research Assistant. At Datalytic Solutions, Dr. Silva adds a wide range of advanced statistical methods to best serve our clients' most challenging needs.