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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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.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University College Cork
Bachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at Universidad del Valle (CO)
Master’s Degree, Artificial Intelligence, Master’s Degree, Artificial Intelligence at Universidad Politécnica de Madrid
Contributions:169 pushes, 1 branch in 1 year 6 months
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Francisco Peña - Assistant Professor at KTH Royal Institute of Technology