PERSONAL INFORMATION    
Full name: PONCE ALVAREZ, Adrián Fernando.
Birth: 1982, Mexico.
Nationality: Mexican, Spanish.

AUTHOR DETAILS    
Researcher ID: A-5698-2018
Author ID: 26538097300
ORCID code: 0000-0003-1446-7392

AFFILIATIONS   
1. Polytechnic University of Catalonia, Department of Mathematics.
2. Center for Brain and Cognition (CBC), Computational Neuroscience group, Pompeu Fabra University.
3. Center for Gender Studies (CEdGE), Pompeu Fabra University.

EDUCATION
[2001-2004] Bachelor's degree in Physics
, University of Paris-Sud 11.
[2004-2005] Master I in Physics, University of Paris-Sud 11.
[2005-2006] Master II in Physics of Biological Systems, University of Paris-Sud 11.
[2006-2010] Ph.D. in Neurosciences, Aix-Marseille University, France.

PERSONAL FELLOWSHIPS
[2006-2010]
Doctoral fellowship from the Mexican Government (Consejo Nacional de Ciencia y Tecnología, CONACYT).
[2009] RIKEN CBS Summer Program from RIKEN Institue (Japan).
[2016-2018] Postdoctoral fellowship Juan de la Cierva fellowship from the Spanish Government.

[2022-2027] Ramón y Cajal fellowship from the Spanish Government.

PARTICIPATION IN PRIVATE/PUBLIC PROJECTS
[2011-2014]
"Brain Recovery Group", James McDonnell Foundation (JSMF22002082).
[2013-2016] SEMAINE “Simultaneous MEG or fMRI And INtracranial EEG”, EraNet NEURON (PCIN-2013-026).
[2014-2016] “Integrating Connectomics with Brain Activity Mapping” (PSI2013-42091-P ICoBAM).
[2014-2016] “Cognitive and Computational Neuroscience (CCN)” (2014 SGR 856).
[2018–2020] "Comparative Investigation of the Cortical Circuits in Mouse, NHP and Human (Corticity)" (PCI2018-092891). FLAG-ERA Joint Transnational Call.
[2020-2022] “Data and models for the understanding of consciousness”, Human Brain Project SGA3.

TEACHING
[2018-2022]
Audiovisual Perception and Cognition for 2nd year undergraduates in Computer and Audiovisual Systems Engineering, Pompeu Fabra University.

EDITORIAL BOARD MEMBERSHIP
Review Editor on the Editorial Board of Frontiers in Neural Circuits

SUPERVISED THESES
[2017-2021] 
Ane López-González PhD thesis (PhD Program in Biomedicine, UPF), on the study of dynamical and statistical whole-brain models of low-level states of consciousness (date of defense: 06/10/2021).

SELECTED ORAL PRESENTATIONS / ORGANIZATION OF SCIENTIFIC PANELS
[2014] Speaker: 23rd Annual Computational Neuroscience Meeting CNS 2014, Québec City, Canada, Organization for Computational Neuroscience.
[2016] Speaker: 10th Forum of Neuroscience FENS 2016, Copenhagen, Denmark, Federation of European Neuroscience Societies.
[2018] Speaker: Circuits and Behavior in Tuscany 2018, Montecastelli, Italy.
[2021] Keynote speaker: Forum for the Computational, Systems and Cognitive Neuroscience Community​ from Barcelona​, BARCCSYN 2021, Barcelona, Spain, Centre de Recerca Matemàtica.
[2021] Organizer: CNS Workshop on Spatiotemporal Brain State Dynamics and their Impact on Behavior at the 30th Annual Computational Neuroscience Meeting, online, Organization for Computational Neuroscience.

COMPUTING LANGUAGES: Matlab, Python, C++.

LANGUAGES: English, French, Spanish.


CV SUMMARY
I was born in Mexico, where I did my primary and secondary education. I studied Physics in France, where I obtained a bachelor and a Master degree in Physics (Paris University XI, France) and a PhD in Neuroscience (Aix-Marseille University, France). From 2011-2022, I was employed as a postdoctoral fellow at the Computational Neuroscience group of the Center for Brain and Cognition (CBC) at the UPF, Barcelona, Spain. I am currently employed as Ramón y Cajal Research fellow at the Polytechnic University of Catalonia.

I am broadly interested in general principles underlying brain function. My research investigates the representation of cognitive processes in the spatiotemporal patterns of brain activity, the emergence of collective activity through the interactions of neurons or brain regions, and how these collective behaviors relate to brain function and dysfunction.

My approach uses a combination of data analysis and theoretical modeling, by means of stochastic dynamical systems, information theory, statistical physics, machine learning, and graph theory. During my PhD and my research stays (RIKEN Brain Institute, Japan; École Normale Supérieure, Paris, France), I became experienced in several behavioral/experimental methods, such as psychophysics, cellular electrophysiology, calcium imaging, and magnetic resonance. Thus, my research integrates theory, data analysis, and experiments, which, in combination, are increasingly important to understand the nervous system and to develop tools for clinical applications.

I have published 27 peer-reviewed articles in top journals such as Neuron, Nature Reviews Neuroscience, PNAS, Science Advances, eLife, Journal of Neuroscience, Nature Communications Biology, and Cerebral Cortex, and one book-chapter (h-index = 17). My work has received more than 1,000 citations and has been presented in 21 international conferences.

During my academic/scientific career, I have received personal fellowships such as a PhD scholarship from the Mexican Government (2006-2010) and the postdoctoral Juan de la Cierva fellowship from the Spanish Government (2016-2018). I also significantly contributed to several competitive private and public projects, including projects funded by the James McDonnell Foundation, the EU EraNet, FLAG-ERA, and the Human Brain project. Furthermore, I have contributed to the development of The Virtual Brain, an open-source platform for whole-brain simulations constraint by biological connectivity data to test both scientific and clinical questions.

I am regularly invited to present my work as a speaker in international scientific conferences (e.g. CNS 2014, FENS 2016), to review articles for international journals in the field of neuroscience (e.g., PNAS), and to participate in PhD thesis defenses (UPF and Barcelona University). I am Review Editor on the editorial board of Frontiers in Neural Circuits. I recently organized a workshop at the CNS 2021 conference on Brain States.

Furthermore, I have co-supervised a PhD student (Biomedicine PhD Program, UPF, 2017-2021). I also have supervised several master’s students. Since 2018, I teach a course on Audiovisual Perception and Cognition for 2nd year undergraduates in Computer and Audiovisual Systems Engineering, which is an introduction to machine-learning algorithms inspired by neural networks (academic years: 2018-2019, 2019-2020, 2020-2021, 2021-2022).

I am also interested in gender equity in science, as I was part of the Center for Gender Studies (CEdGE) at the UPF from 2015-2022. I have been invited to several round tables on gender equity and equality plans at the UPF and other research institutions in Barcelona.