Francisco Peña

Assistant Professor at KTH Royal Institute of Technology

Stockholm, Stockholm County, Sweden
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Summary

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Senior
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Top School
Francisco Peña is an Assistant Professor and AI-driven computer scientist with 12 years of experience applying deep learning to real-world problems across healthcare, remote sensing, recommender systems and software analytics. He develops convolutional and semantic segmentation models to extract actionable patterns from histopathology and satellite imagery, and has translated research into industry collaborations including AstraZeneca and Karolinska Institutet. His work spans the full research-to-production pipeline—data engineering, model design and clinical/operational integration—bridging academic rigor with practical deployment. Trained with a PhD from University College Cork and a master’s in AI from UPM, he also has a solid software engineering background from early bioinformatics and BI projects, which informs his emphasis on reproducibility and robust tooling.
code12 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University College Cork
bookBachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at Universidad del Valle (CO)
bookMaster’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at Universidad Politécnica de Madrid
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Github Skills (9)

jetbrains4
factorization4
machine-learning3
matrix-factorization3
react3
recommender-system2
nextjs2
material-design2
gradient-descent1

Programming languages (3)

JavaGoPython

Github contributions (5)

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melqkiades/yelp

Mar 2014 - Dec 2018

Contributions:624 commits, 357 pushes in 4 years 9 months
melqkiades/deep-wetlands

Jul 2022 - Jan 2024

Contributions:169 pushes, 1 branch in 1 year 6 months
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Francisco Peña - Assistant Professor at KTH Royal Institute of Technology