Jordi Abante, PhD
Ramón y Cajal Fellow · Principal Investigator
about jordi
Jordi leads a lab developing machine learning and probabilistic methods that connect molecular variation and cellular states with brain function, working at the intersection of computational genomics and computational neuroscience.
-
Ramón y Cajal fellow · principal investigator
Universitat de Barcelona
Department of Biomedicine.
-
"la Caixa" Junior Leader fellowship
Universitat de Barcelona
Department of Biomedicine.
-
Lecturer
Universitat de Barcelona
Department of Mathematics and Computer Science.
-
Postdoctoral researcher
Universitat de Barcelona
In the Department of Biomedicine (Canals lab) and the Department of Mathematics and Computer Science (Radeva lab), developing methods for multimodal single-cell data analysis to study brain development and developmental alterations in Huntington’s disease.
-
Postdoctoral research fellow
Stanford University
Biomedical Data Science Department (Salzman lab).
CEHG postdoctoral fellowship
Awarded by the Stanford Center for Computational, Evolutionary and Human Genomics, funding the first year of the postdoc.
-
PhD in Electrical & Computer Engineering
Johns Hopkins University
Defended his dissertation, “Statistical Signal Processing Methods for Epigenetic Landscape Analysis”, in May 2021.
MS in Applied Mathematics & Statistics
Focused on statistical learning, earned alongside the PhD.
-
MS in Electrical & Computer Engineering
Texas A&M University
Center for Bioinformatics and Genomic Systems Engineering (Datta lab), working on computational genomics.
"la Caixa" fellowship for PhD research
Johns Hopkins University
To join the Goutsias lab and develop computational methods to study epigenetic signatures, in close collaboration with the Feinberg lab of the Johns Hopkins University School of Medicine.
-
BS in Industrial Engineering
Universitat Politècnica de Catalunya
Power electronics and signals, Barcelona.
