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Esther Ibáñez Marcelo

Current position (from Dec 2019):

Data Scientist in the AI Lab at ISI Foundation

Working on a Data Quality and Risk Overlay project

Last position as a researcher:

Postdoc position at ISI Foundation

in the project

ADnD: Algebraic-topological Detection of neurodegenerative Diseases

Main research topics:

Topological Data Analysis
Genotype-phenotype networks
Phylogenetic reconstruction

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.

UPDATING to new Google Sites for this reason the site format is still in working process

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:

E. Ibáñez-Marcelo, L. Campioni, D. Manzoni, E.L. Santarcangelo and G. Petri

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

E. Ibáñez-Marcelo, L. Campioni, A. Phinyomark, G. Petri and E.L. Santarcangelo

Topology highlights mesoscopic functional equivalence between imagery and perception

Biorxiv: Feb 2018.

Neuroimage, 2019

doi:10.1016/j.neuroimage.2019.06.044

A. Phinyomark, R.N. Khushaba, A. Patania, E. Ibáñez-Marcelo, E. Scheme, G. Petri

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

Journal of the Royal Society Interface, 2017.

doi: 10.1098/rsif.2017.0734

A. Phinyomark, G. Petri, E. Ibáñez-Marcelo, S.T. Osis and R. Ferber

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!

A. Phinyomark, E. Ibáñez-Marcelo and G. Petri

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

E. Ibáñez-Marcelo and T. Alarcón

Evolutionary escape on complex genotype-phenotype networks

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

doi:10.1016/j.jtbi.2015.12.033

E. Ibáñez-Marcelo and T. Alarcón

Surviving evolutionary escape on complex genotype-phenotype networks

Journal of Mathematical Biology, 1-25, 2015.

doi:10.1007/s00285-015-0896-x

E. Ibáñez-Marcelo and T. Alarcón

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

E. Ibáñez-Marcelo and T. Alarcón

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

E. Ibáñez-Marcelo and M. Casanellas

EM for phylogenetic topology reconstruction on nonhomogeneous data

BMC Bioinformatics, 14:132, 2014.

doi:10.1186/1471-2148-14-132

E. Ibáñez-Marcelo and T. Alarcón

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

E. Ibáñez-Marcelo and Marta Casanellas

Expectation Maximization per a arbres filogenètics

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

Book Chapter:

A. Phinyomark, E. Ibáñez-Marcelo and G. Petri

Topological Data analysis of Biomedical Big Data

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

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