Alex Brito is a Senior Research Scientist in the Intelligent Systems Laboratory at PARC. His background is on signal processing and his current research focuses on the theory and practice of cyber-physical systems security, building energy modeling and sensor streaming, adversarial and privacy-preserving machine learning, and applied cryptography. Recently, he served as co-PI for PARC’s involvement in DARPA’s QED for RML program. Additionally, he was the technical lead for DARPA’s TMVD program and a DHS project related to Differentially Private Anomaly Detection. He led the creation of PARC’s Secure and Private Data Analytics framework, and has been a performer in NIH funded bioinformatics projects to build novel algorithms, software libraries and tools for mass spectrum analysis, automatic identification of glycan composition and structure, and De Novo sequencing. In recent years, while working in the areas of document image understanding, focusing on layout analysis, document classification, and data extraction, he was the technical lead to transfer PARC’s technology to Xerox business platforms and services. Some of the relevant PARC’s projects that were transferred to commercialization services are Document Image Decoding, Feature Extractors and Classifiers for Document Categorization, Image Anchor Templates for Data Extraction and Document Categorization, and Annotation Lifting. Previously, he worked for Xerox as an Imaging Research Engineer in the Image Processing and Advanced Computer Technology Group within the Imaging and Services Technology Center, where he developed and mapped image processing pipelines and image paths to heterogeneous multi-core architectures. Dr. Brito has a Ph.D. in Computer Engineering from The University of Texas at El Paso. He has over 15 years of experience devising and implementing research and production software/hardware systems for applications in security and privacy, sensor streaming and analytics, bioinformatics, and multidimensional signal processing. He has published various papers in the areas of security and privacy, bioinformatics, image processing, signal recovery and reconstruction, and super-resolution in Synthetic Aperture Radar imaging.