RESEARCHDIAGNOSTICSTRANSLATIONOUTREACH
 
Miguel Rebelo
Name: Miguel Rebelo
E-mail: mrebelo@i3s.up.pt
Extension: 
225570700
Academic Degree: Master


Miguel Rebelo
Miguel Rebelo
Member of
PhD Student of Population Genetics


Short CV

Through my scientific path I've mainly focused on questions related with Population Genetics, from Ovarian Cancer and Alzheimer's disease modelling to Grapevine Genomic analysis. 

I'm thrilled by the capabilities of good Computational Statistics and what it can bring to the table. I also apply Machine Learning and Data Mining pipelines for industrial purposes, and try to leverage knowledge from seemingly unrelated areas. 

I have published works on genomic analysis of grapevines, multimodal analysis of the Alzheimer's disease and Recommendation Systems.

You can contact me via LinkedIn or email 

Highlights

Supervisor of

PI (running)

PI (closed)
First Author
 
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IF
1. Rebelo MÂ, Gómez C, Gomes I, Poza J, Martins S, Maturana-Candelas A, Ruiz-Gómez SJ, Durães L, Sousa P, Figueruelo M, Rodríguez M, Pita C, Arenas M, Álvarez L, Hornero R, Pinto N, Lopes AM
Genome-Wide Scan for Five Brain Oscillatory Phenotypes Identifies a New QTL Associated with Theta EEG Band. Brain sciences 10: ., 2020. [Article] 
 doi: 10.3390/brainsci10110870 PMID: 33218114.
 
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3.3 (*)
Senior Author
 
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IF
@ 2014 Ipatimup Institute of Molecular Pathology and Immunology of the University of Porto
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