Alcides Fonseca

AI Advisor at LASIGE

Coimbra, Coimbra, Portugal
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Summary

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Senior
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Top School
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.
code18 years of coding experience
job16 years of employment as a software developer
bookPhD Information Science, PhD Information Science at Universidade de Coimbra
bookMaster Interaction Design, Master Interaction Design at Chalmers University of Technology
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Github Skills (119)

parser10
abstract-syntax-tree10
python-dataclasses10
metaprogramming10
java-module10
code-analysis10
code-generation10
static-analysis10
spoon10
grammars10
symbolic-regression10
numba10
vscode-extension10
multi-touch10
java10

Programming languages (15)

JavaC++LeanCSSCTeXHTMLJupyter Notebook

Github contributions (5)

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AEminium/AeminiumRuntime

May 2010 - Apr 2016

Contributions:133 commits, 1 PR, 5 pushes in 5 years 11 months
Contributions:297 pushes, 2 branches in 1 year 11 months
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