TReNDS Center
Rogers F Silva is a skilled research scientist with extensive experience in data analysis and multimodal neuroimaging. Currently at TReNDS Center since January 2019, Rogers has previously held multiple roles at The Mind Research Network, including adjunct postdoctoral fellow, where contributions included the development of latent variable models and algorithms for exploratory analysis of multimodal datasets. Rogers has also worked as a data scientist at Datalytic Solutions and held research fellowships at Carnegie Mellon University and the University of Pittsburgh, focusing on diffusion imaging. Notable educational achievements include a Ph.D. in Computer Engineering from The University of New Mexico and advanced training in multimodal brain imaging from the MGH/HST Martinos Center. Additional academic qualifications encompass two bachelor's degrees in Computer Science and Electrical Engineering, as well as a master's degree in Computer Engineering.
TReNDS Center
TReNDS is focused on developing, applying, and sharing advanced analytic approaches and neuroinformatics tools that leverage brain imaging and omics data with a goal of translating these approaches into biomarkers that help address relevant areas of brain health and disease. Large-scale data sharing and advanced data-driven and machine learning methods as well as multimodal data fusion techniques are the underpinnings of our approach.