Pablo聽Millan
Profesor Ayudante Doctor at Universidad de Zaragoza
Zaragoza, Aragon, Spain
Summary
馃懁
Senior馃帗
Top SchoolPablo 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.
8 years of coding experience
2 years of employment as a software developer
Doctorado, Computer Science, Doctorado, Computer Science at Universidad de ZaragozaGraduado en Bachiller, Bachillerato de Ciencias, Graduado en Bachiller, Bachillerato de Ciencias at IES Francisco Grande Covian
Spanish, English, Japanese
Github Skills (38)
natural-language-understanding8
natural-language-processing7
sentence-similarity7
nlp7
bert6
transformers6
gpt5
del5
sentence-embeddings5
convolutional-neural-networks4
representation-learning4
language-model4
transformer-architecture4
deep-learning3
representations3
Programming languages (2)
Github contributions (5)
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
millanp95/OFTracker
May 2019 - Jan 2020
Contributions:16 commits, 15 pushes, 1 branch in 8 months
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