Summary
João Silva is a PhD candidate and AI researcher based in Lisbon with nine years of experience bridging academic research and applied machine learning. His work at IST and INESC-ID focuses on NLP, computer vision, multimodal data and remote sensing, with practical experience compiling ML and deep learning methods for crop disease and pest forecasting during an internship at INOV. He combines rigorous academic training from Instituto Superior Técnico with hands-on experimentation in multimodal pipelines, seeking to translate research prototypes into real-world environmental and agricultural applications. Known for pursuing cross-domain solutions, he often explores how language and imagery can be fused to improve sensing and prediction in challenging, real-world datasets.
9 years of coding experience
Master's degree, Computer Science and Engineering, Master's degree, Computer Science and Engineering at Instituto Superior Técnico
English, Portuguese