Summary
Samuel Gomes is a data scientist and PhD researcher in artificial intelligence with a decade of experience applying analytical and data-driven models to wireless communications and signal processing. He holds a BSc in Computer Engineering, an MSc in Electrical Engineering, and is pursuing a PhD focused on using AI to enhance the physical layer for low-latency, high-reliability wireless systems. His expertise spans stochastic processes, information theory, and machine learning across supervised, unsupervised, and reinforcement paradigms, with hands-on work in computer vision, generative models, NLP, and time series. Samuel has blended academic research with industry impact through roles at Petrobras and Instituto de Pesquisas Eldorado, translating theoretical insights into practical systems. Based in Rio de Janeiro, he uniquely bridges communication theory and modern ML to explore adaptive, personalized networking paradigms. Colleagues value his ability to tackle abstract problems with both mathematical rigor and empirical modeling.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Universidade Federal do Ceará (UFC)
Ph.D., Artificial Intelligence, Ph.D., Artificial Intelligence at Universidade Estadual de Campinas
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at California State University-San Bernardino
English, Portuguese