Alcides Fonseca is an AI advisor and associate professor with 17 years of experience exploring how traditional AI, machine learning, and LLM-based techniques reshape software development. He leads the Reliable Software Systems research line at LASIGE and combines academic rigor with industry impact, advising Dragonboat and previously shaping AI strategy and automation in genomics at GenoMed. His background spans building runtimes for concurrent-by-default languages, GPU-accelerated data-parallel systems, and full-stack product engineering, reflecting a rare mix of programming-language research and hands-on engineering. Educated to PhD level at Universidade de Coimbra with additional design studies at Chalmers, he bridges theory, interaction design, and practical tooling to make AI-driven development more reliable and productive. Colleagues describe him as a pragmatic researcher who translates deep systems expertise into actionable AI strategies for both research labs and product teams.
17 years of coding experience
16 years of employment as a software developer
PhD Information Science, PhD Information Science at Universidade de Coimbra
Master Interaction Design, Master Interaction Design at Chalmers University of Technology
Contributions:267 pushes, 2 branches in 1 year 8 months
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