Pablo聽Millan

Profesor Ayudante Doctor at Universidad de Zaragoza

Zaragoza, Aragon, Spain
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Summary

馃懁
Senior
馃帗
Top School
Pablo Millan is an assistant professor and researcher in Zaragoza with eight years of experience at the intersection of machine learning, human-robot interaction and medical imaging. He completed a PhD within the European IGLU project, blending ML methods with HRI, and subsequently contributed to the Endomapper project as a postdoc focused on medical imaging applications. Comfortable in both academia and applied projects, he has taught across multiple institutions and holds a Master in Secondary Education, which informs his clear communication of complex technical topics. Known for intellectual flexibility, he pursues diverse applications of deep learning and has collaborated with genomics research groups, reflecting a broad, multidisciplinary curiosity beyond core robotics and vision.
code8 years of coding experience
job2 years of employment as a software developer
bookDoctorado, Computer Science, Doctorado, Computer Science at Universidad de Zaragoza
bookGraduado en Bachiller, Bachillerato de Ciencias, Graduado en Bachiller, Bachillerato de Ciencias at IES Francisco Grande Covian
languagesSpanish, English, Japanese
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Github Skills (43)

clustering-algorithm10
dna-sequences10
representation-learning9
bar-code9
deep-learning9
classification8
clustering8
bert8
transformer-architecture7
language-model7
nlp6
sentence-similarity6
contrastive-learning6
natural-language-processing6
natural-language-understanding6

Programming languages (4)

ShellRustHTMLPython

Github contributions (5)

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Kari-Genomics-Lab/iDeLUCS

Apr 2022 - Mar 2023

Source code for iDeLUCS. An interactive deep-learning based tool for clustering of genomic sequences
Contributions:2 releases, 2 reviews, 45 commits in 11 months
clusteringdeep-learning
millanp95/OFTracker

May 2019 - Jan 2020

Contributions:16 commits, 15 pushes, 1 branch in 8 months
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