Tiago Gonçalves
Advanced Machine Learning Engineer at Massachusetts General Hospital
Vila Nova de Gaia, Portugal
Summary
👤
Senior🎓
Top SchoolTiago Gonçalves is an Advanced Machine Learning Engineer and PhD candidate in Electrical and Computer Engineering at FEUP with eight years of experience building explainable ML and computer vision systems for medical decision support. He combines academic rigor—through visiting research stints at Massachusetts General Hospital, the Martinos Center, Utrecht University and the Netherlands Cancer Institute—with applied ML engineering at Loka, focusing on in-model explainability and deployment. Tiago has a background in biomedical engineering (MSc) and a strong record of research leadership and community organisation, including multiple xAI workshop roles and teaching assistantships. Comfortable moving models from research to production, he brings cross-disciplinary fluency between medical imaging, explainable AI, and software delivery. An oft-overlooked strength is his long track record of founding and managing student organisations, which informs his collaborative approach to research and product development.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science (BSc), Bioengineering and Biomedical Engineering, Bachelor of Science (BSc), Bioengineering and Biomedical Engineering at Escola Superior de Biotecnologia da Universidade Católica PortuguesaDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Faculdade de Engenharia da Universidade do PortoEnsino Secundário, Biotecnologia, Ensino Secundário, Biotecnologia at Colégio Internato dos CarvalhosBachelor of Science (BSc), Bioengineering and Biomedical Engineering, Bachelor of Science (BSc), Bioengineering and Biomedical Engineering at Universiteit Twente
English, Portuguese, French, Spanish
Github Skills (23)
breast-cancer10
convolutional-neural-networks8
information-theory7
medical-imaging6
theano6
evaluation6
theory6
deep-learning5
computational-neuroscience5
visualization4
machine-learning4
neuroscience4
keras4
python4
medical-image-segmentation4
Programming languages (3)
Github contributions (5)
QTIM-Lab/dl-prediction-brca-tiph-ext
Nov 2024 - Mar 2025
Implementation of the paper "Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology" by Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina V. Hoebel, Mason Cleveland, Syed Rakin Ahmed, Elizabeth Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge and Albert E. Kim.
Contributions:193 pushes in 4 months
visum-summerschool/visum-2021
Jul 2021 - Jul 2021
Contributions:25 commits, 25 pushes in 10 days
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