Jorge Silva
Doctoral Researcher at IEETA
Porto, Porto, Portugal
Summary
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Senior🎓
Top SchoolJorge Silva is a doctoral researcher at IEETA (University of Aveiro) with nine years of experience building privacy-preserving, federated infrastructures for sensitive genomic and phenotypic data. He leads ELIXIR work packages and contributes to the European GDI/FEGA effort, combining federated learning, TRE practices, and FAIR deposition to operationalize secure discovery and controlled access across nodes. His research bridges information theory and biomedical AI—developing compression-based, alignment-free genomics methods and practical tools like Biochef, VCFX and PhenoQC used in production pipelines. A prolific open-source maintainer and author of 40+ peer-reviewed papers, he has also won the BioASQ Challenge and an IEEE CBMS Best Paper Award. Jorge brings an uncommon blend of theoretical rigor (Kolmogorov complexity applications) and hands-on systems engineering that accelerates reproducible, privacy-by-design genomic analysis.
10 years of coding experience
Master's degree, Bioengenharia and Engenharia Biomédica, Master's degree, Bioengenharia and Engenharia Biomédica at Faculdade de Engenharia da Universidade do PortoDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidade de Aveiro
Portuguese, English, German, Italian, French
Stackoverflow
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Github Skills (41)
turing-machine10
bioinformatics10
package-management9
conda9
dna-sequences9
bioconda8
python8
ai8
artificial-intelligence8
claude8
java7
llm7
openai7
metadata7
autonomous-agents7
Programming languages (8)
Github contributions (5)
asilab/TMCompression
Feb 2019 - Jan 2020
Simple Turing Machines, Statistic Complexity vs Algorithmic Complexity
Contributions:210 commits, 40 PRs, 177 pushes in 11 months
turing-machine
jorgeMFS/spttm
Mar 2022 - Dec 2025
Contributions:6 PRs, 69 pushes, 6 branches in 3 years 9 months
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