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Jorge Miguel Silva

I'm a

Profile

About

As a Research Fellow at the Institute of Electronics and Informatics Engineering of Aveiro (IEETA), I engage in cutting-edge computer science and engineering research. I hold a Master's in Bioengineering from the Faculty of Engineering at the University of Porto and have recently completed my PhD in Computer Science. My primary research interests revolve around Information Theory, Artificial Intelligence, and Compression, focusing on applying these methodologies to genomics.

Portrait of Jorge Miguel Silva

Researcher & Computer Scientist

Some basic information

City: Aveiro, Portugal
Degree: PhD
Age: 33
Workplace: IEETA, Aveiro University
Email:
Freelance: Not available
Hobbies: Reading, Music, Painting

I enjoy working in a team, and I am open to national or international collaborations in my areas of interest.

Research

Projects

Research projects I'm involved with

12

Journal Publications

28

Conference Papers

38

Repositories

331

Citations

9

h-index

Papers

Selected Publications

Here are some of my selected publications.

View more publications:

Practice

Skills

Technical expertise across programming, research, and infrastructure.

Programming Languages

C/C++ Python Bash Perl Java JavaScript R

Research Areas

Information Theory Data Compression Genomics Bioinformatics Machine Learning Metagenomics Medical Imaging

Technologies & Tools

Docker Kubernetes Git HPC React WebAssembly CI/CD

Domain Expertise

Federated Learning FAIR Data Variant Calling Genome Assembly Deep Learning Privacy-Preserving ML

Career

Resume

A short resume of my work experience and education.

View CV

Summary

Jorge Miguel Silva

Researcher in federated genomics, data compression, and biomedical AI. Focus on privacy-preserving data infrastructures and information theory methods applied to genomics and healthcare.

  • 43 publications • h-index 8 • 200+ citations
  • IEETA, Aveiro University

Education

PhD in Computer Engineering

2017 - 2023

IEETA, Aveiro University, Portugal

Thesis: Algorithmic and Statistical Information Theory methods for data classification and compression in genomics.

MSc Bioengineering & Biomedical Engineering

2010 - 2016

FEUP, University of Porto, Portugal

Awards

BioASQ Challenge 2023

Winner - Task 11B Phase B & MedProcNER

IEEE CBMS 2018

Best Student Paper Award

Leadership

FEGA Portugal Operations Coordinator

European Genomic Data Infrastructure (GDI)

Portuguese FHD Community Coordinator

Federated Human Data Community

Professional Experience

Postdoctoral Researcher

2023 - Present

IEETA, Aveiro University

  • • Technical lead for GDI & FEGA Portugal node
  • • Task leader for FAIR-FEGA project
  • • Principal Investigator - Federated genomic infrastructures

PhD Researcher (FCT Grant)

2017 - 2023

IEETA, Aveiro University

  • • Genomic data compression algorithms
  • • Biomedical NLP and question answering
  • • Projects: SCREEN-DR, MMIR, EHDEN, EMIF

Research Fellow

2016 - 2017

IEETA, Aveiro University

• Bioinformatics tools development

Academic Service

Programme Committee

IEEE CBMS, HealthInf

Journal Reviewer

GigaScience, Scientific Reports, BMC Bioinformatics, Entropy, and 5+ others

Reach

Contact

If you wish to contact me regarding collaborations, projects or other subjects, please get in touch using the following information.

Location

IEETA, Universidade de Aveiro · 3810-193 Aveiro, Portugal

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Email

Phone

(+351) 234 370 500