Guilherme Santos da Silva has a degree in Computer Engineering from the Federal Technological University of Paraná, Brazil and is currently an employee of LexisNexis Risk Brazil. He discovered HPCC Systems in 2021 when he joined LexisNexis as an intern and participated in the
2021 HPCC Systems Poster Contest with the poster titled: HPCC Systems File Usage Monitor (Guilherme Santos da Silva – 2021 Poster Contest Resources – HPCC – Confluence (atlassian.net)). Guilherme also has two publications, the most recent being titled: Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network (Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network – ScienceDirect).
Guilherme’s interests lie in computer vision and natural language, in order to use such technologies to make the world a better place to live. Guilherme has explored the possibility of building a Brazilian address analyzer using NLP++.
