Simão Gonçalves
Data Scientist
Lisbon, Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolSimão Gonçalves is a data scientist with eight years of experience applying machine learning to healthcare, currently leading ML projects and research at Hospital da Luz in Lisbon. He has built scalable pipelines for diagnosis prediction and uncertainty estimation on half a million patient records, and helped translate models into clinically relevant tools through close collaboration with physicians. Previously he led technical work at Value for Health CoLAB on EHR-driven outcome analysis and published results that improved intervention targeting and demonstrated measurable cost savings. An experienced educator, he has taught intensive data science courses and workshops, preparing novices to deliver real-world capstone projects. He combines hands-on engineering—Python, PyTorch, Pandas, scikit-learn—with a pragmatic research mindset and an entrepreneurial interest in deploying ML for medical impact.
9 years of coding experience
2 years of employment as a software developer
Completion Intro to Descriptive Statistics, Completion Intro to Descriptive Statistics at UdacityMaster's degree Big Data Engineering, Master's degree Big Data Engineering at Faculdade de Ciências e Tecnologia da Universidade NOVA de LisboaSummer Course Introduction to website creation and management, Summer Course Introduction to website creation and management at Universidade Católica Portuguesa - Centro Regional do PortoHigh school High School/Secondary Diplomas and Certificates, High school High School/Secondary Diplomas and Certificates at Escola Secundária Aurélia de Sousa
English
Github Skills (41)
xelatex9
azure8
classification8
python8
latex8
tex8
azure-sdk7
jupyterlab7
icu7
pandas7
data-structures6
data-analysis6
data-structure6
jupyter6
data-science6
Programming languages (8)
Github contributions (5)
Nova-Search-Reading-Group/Reading-Group
May 2020 - Nov 2020
Contributions:20 commits, 15 pushes, 1 branch in 6 months
snovaisg/ICD-Mappings
Jun 2022 - Sep 2022
This python tool enables a variety of mappings of ICD codes (International Classification of Diseases) to different medical concepts with a single line of code.
Contributions:9 releases, 54 commits, 6 PRs in 3 months
classificationpython
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