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Esther Ibáñez Marcelo

Current position (from April 2024):

Professor (Lecturer)  at UOC (Universitat Oberta de Catalunya).
in the Computer Science, Multimedia and Telecommunications Department

Last positions:

Data Scientist at AilyLabs  (2023-2024)
    Main project: Image recognition project: Parse hand-written logs of industrial processes (related to syringe filling) as a first-step to understand the current inefficiences and minimize them.

Postdoctoral Researcher at ISI Foundation (2022-2023)

        Working on human behaviour project and a sentimental analysis + network project

Data Scientist in the AI Lab at ISI Foundation (2019-2022)

        Working on a Data Quality and Risk Overlay project

Postdoc position at ISI Foundation (2015-2019)

in the project 

ADnD: Algebraic-topological Detection of neurodegenerative Diseases

 

Main research topics:

My main research interest lie in two broad areas: use mathematical tools to unveil the information hidden in data (in particular biological data); and test to which extent simple models based on networks and dynamical systems can reproduce many of the features appearing on real biological data.

Easy Tool with interface to apply Persistent Homology: Try it! (Python 2.7, not tested on Python 3)

Easy_PH: Compute with a GUI Persistent Homology!!

Publications:

Review: Introducció a l'anàlisi topològica de dades i aplicaciones (in catalan) / Introduction to Topological Data Analysis and aplications

Butlletí de la Societat Catalana de Matemàtiques, 2021, Vol. 36, Núm. 2, p. 153


Spectral and topological analysis of the cortical representation of the head position: does hypnotizability matter?

Biorxiv: Oct 2018.

Brain and Behavior, 2019

doi:10.1002/brb3.1277

Topology highlights mesoscopic functional equivalence between imagery and perception

Biorxiv: Feb 2018.

Neuroimage, 2019

doi:10.1016/j.neuroimage.2019.06.044

Navigating Features: A Topologically-Informed Chart of EMG Features Space

Journal of the Royal Society Interface, 2017.

doi: 10.1098/rsif.2017.0734

Analysis on Big Data in Gait Biomechanics: Current Trends and Future Directions

Journal of Medical and Biological Engineering, 2017.

doi:10.1007/s40846-017-0297-2

One of the top 10 most downloaded journal articles in 2018 in engineering field from Springer publisher!

Resting-State fMRI Functional Connectivity: Big Data Preprocessing Pipelines and Topological Data Analysis

IEEE Transactions on Big Data (IEEETBD), 2017.

doi: 10.1109/TBDATA.2017.2734883

Evolutionary escape on complex genotype-phenotype networks

Journal of Theoretical Biology, 394, 18-31 2016. 

doi:10.1016/j.jtbi.2015.12.033

Surviving evolutionary escape on complex genotype-phenotype networks

Journal of Mathematical Biology, 1-25, 2015.

doi:10.1007/s00285-015-0896-x

Conference proceedings: Evolutionary escape in populations with genotype-phenotype structure.

Research Perspectives CRM Barcelona, Trends in Mathematics, Birkhauser Science (Springer), 2014.

doi:10.1007/978-3-319-22129-8_19

The topology of robustness and evolvability in evolutionary systems with genotype-phenotype map 

Journal of Theoretical Biology, 356, 144-162, 2014.

doi:10.1016/j.jtbi.2014.04.014

EM for phylogenetic topology reconstruction on nonhomogeneous data

BMC Bioinformatics, 14:132, 2014.

doi:10.1186/1471-2148-14-132

Conference proceedings: Evolutionary dynamics of the genotype-phenotype map

Research Perspectives CRM Barcelona, Trends in Mathematics, Birkhauser Science (Springer), 2013.

doi:10.1007/978-3-319-08138-0_10

Expectation Maximization per a arbres filogenètics

Societat Catalana de Matemàtiques. Notícies, 34, July 2013.

Book Chapter:

Topological Data analysis of Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data, 2017.