Irene Vigué-Guix

Ph.D. student and assistant teacher in Communication and Information Technologies at Pompeu Fabra University, with an undergraduate degree in Biomedical Engineering from the Polytechnic University of Catalonia and a master’s in Brain and Cognition from Pompeu Fabra University.


Ph.D. in Communication and Information Technologies

Universitat Pompeu Fabra (UPF), Barcelona, Spain / Mar 2018 – Expected: May 2022

Department of Information and Communication Technologies (DTIC)

Center for Brain and Cognition (CBC) – Multisensory Research Group (MRG)


Borja Vilaseca Institute, Online / Sep 2020 – Mar 2021

MS in Brain and Cognition

Universitat Pompeu Fabra (UPF), Barcelona, Spain  / Sep 2016 – Sep 2017

THESIS PROJECT: “A closed-loop Brain-Computer Interface (BCI) on EEG alpha activity”

BS in Biomedical Engineering

Universitat Politecnica de  Catalunya (UPC), Barcelona, Spain / Sep 2011 – Jun 2015

Politecnico di Torino (Thesis project), Turin, Italy / Sep 2015 – Feb 2016

THESIS PROJECT: “Brain-Computer Interfaces (BCI) based on movement-related cortical potentials (MRCP)”


Teacher assistant

Teaching seminars and practices of “Technical Communication in English” in the third year of the Bachelor’s degree in Audiovisual Systems Engineering.

         Pompeu Fabra University (UPF), Oct 2021 – Dic 2021

Pompeu Fabra University (UPF), Oct 2020 – Dic 2020

Pompeu Fabra University (UPF), Oct 2019 – Dic 2019


Neuroscientist Resident

OPENBCI, INC,  Brooklyn, New York, NY, USA / Apr 2016 – Aug 2016.

Worked in several studies during my stay at OpenBCI HQ, some of them trying to classify between motor imagery and motor execution, and differentiate between right and left-hand movements.

Junior Biomedical Engineer Intern

FICOSA (FICOMIRRORS, S.A.),  Barcelona, Catalonia / Mar 2015 – Jun 2015.

Worked on the development and validation of medical multiparametric processing algorithms together with biomedical data and relevant user behavior to detect excessive sleepiness during driving. The project was called Healing Drop Project.


Research volunteer at the National Center for Adaptative Neurotechnologies (NCAN)

WADSWORTH CENTER, Albany, New York, United States / Mar 2016 – Apr 2016

Worked with MD Jonathan R. Wolpaw, Ph.D. Dennis McFarland, and BA Theresa Vaughan in studies involving sensorimotor rhythms (SMR), signal processing of EEG data in MATLAB and EEGLAB, data analysis and statistics in R program, and the development of a system for comprehensive kinematic/EMG/EEG analyses of locomotion and other motor actions in normal volunteers and people with spinal cord injuries, cerebral palsy, or other chronic neuromuscular disorders.

Research Assistant

Biomedical Engineering Research Centre (CREB),  Barcelona, Catalonia / Oct 2014 – Mar 2015

Worked with Prof Xavier Rosell and Prof Mireia Fernandez in the Biomedical Instrumentation group to create a shoe-embedded piezoelectric energy harvester for wearable sensors in walking race environments. The project is still going forward.


NYC Neuromodulation Online Conference [2020]

Online / Abr 20-22, 2020

Assisted in the conference.

Cognitive Science Arena (CSA) [2019]

Free University of Bozen-Bolzano, Brixen-Bressanone, Italy / Feb 15-16, 2019

Participated in the conference by giving a talk on “The (putative) importance of alpha-phase in visual perception: a real-time study”.

2nd Brain Twitter Conference [2018]

Online / Mar 8, 2018

Participated at the virtual conference via Twitter by talking on: “A closed-loop BCI based on EEG alpha activity modulated by attention”.

First Joint Congress of SEPEX-SEPNECA-AIP [2018]

National Distance Education University (UNED), Madrid, Spain / Jul 3-6, 2018

Participated in the poster session with the topic: “A BCI is driven by EEG alpha-power from shifts of visuospatial attention”.

IEEE International Systems, Man and Cybernetics (SMC) [2018]

Budapest, Hungary / Oct 9-12, 2016

Participated at the conference by explaining the winning project of my team at the IEEE Brain Hackathon 2016.

Experiential Technology & NeuroGaming Conference and Expo [2016]

San Francisco, CA, USA / May 17-18, 2016

Attended the conference.

Neurotech NYC [2016]

Attended the conference.

New York Academy of Sciences, New York, USA / June 7-8, 2016



Online /  Abr, 2020 – May 2020

A weekly online seminar in Zoom featuring a presentation by a stellar cognitive psychologist followed by a discussion open to anyone around the world.

University courses (CLIK PDI Formation)

Universitat Pompeu Fabra (UPF), Barcelona, Spain /  Nov 2019 – Dic 2019

The EMI course provides language tools and teaching techniques to teach curricular contents and manage classes. In particular, for practices, tutorials and seminars through a third language (English).

Universitat Pompeu Fabra (UPF), Barcelona, Spain /  Oct 2019 – Jan 2020

The FIDU programme provides basic training in teaching to the University teaching staff, in accordance with the educational paradigms established by the European Higher Education Area (EHEA).

Universitat Pompeu Fabra (UPF), Barcelona, Spain /  Oct 2019 – Dic 2019

The workshop is focused on improving the structure, style and accuracy of your academic writing in English in order to optimise the chances of our work being accepted for publication.

Universitat Pompeu Fabra (UPF), Barcelona, Spain /  Abr 2018

The course is focused on knowing the neurobiological bases of the main factors that can modulate the learning and memory processes, identifying the main contributions of cognitive neuroscience in the area of pedagogical innovation, and designing pedagogical methodologies that respect the functioning of the brain to learn and that are applicable in our teaching context. The course was given by Dr David BuenoDr Anna Forés, and Dr Marta Portero.

Universitat Pompeu Fabra (UPF), Barcelona, Spain /  Oct 2018 – Nov 2018

The workshop focused on learning and putting into practice oral communication skills and techniques to improve communicative competence in public presentations of scientific content.

Summer/Spring Courses

Online  /  Abr 20-24, 2020

The course consisted of virtual talks and keynotes by international experts and g.tec about Brain-Computer Interfaces (BCIs).

Universitat Politècnica de Catalunya (UPC), Barcelona, Spain /  Jul 1-5, 2019

The course focused on several aspects of data science applied to data recorded from the brain: statistical modelling, graph theory, statistical analysis and machine learning. The course was given by Andrea Insabato, Adrià Tausté, Mathieu Gilson, and Gorka Zamora-López.

Radboud Summer School, Nijmegen, the Netherlands / 9-12 Aug, 2018

A mix of lectures and hands-on lab work to provide a firm grounding for understanding advanced neural time series analyses, with a strong focus on time-frequency and synchronization analyses. The course was given by Mike X. Cohen.


Online [Udemy] (by Mike X Cohen), Sep 2021 – Present

Learning how to simulate and visualize data for data science, statistics, and machine learning in MATLAB and Python.

Online [Udemy] (by Mike X Cohen), Sep 2021 – Present

A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.

Online [Udemy] (by Mike X Cohen), Sep 2021 – Present

Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes.

Online [Udemy] (by Mike X Cohen), Sep 2021 – Present

Learning practical coding in Python from a warm-blooded scientist. Each video includes hands-on solved practice problems!

Online [Udemy] (by Mike X Cohen), Sep 2021

Ten tips that will help maintaining concentration and productivity while studying and working from home.

Online [Udemy] (by Mike X Cohen), Jul 2021 – Aug 2021

Tips from mindfulness and mind wandering to improve the writing style, habits, and attitude; and become a mindful writer.

Online [Coursera], Standford University (by Andrew Ng), Jun 2016 – Sep 2016

This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include supervised learning, unsupervised learning, and best practices in machine learning.

Online [Coursera], The University of Washington (by Nathan Kutz), Jan 2016 – Mar 2016

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. A brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.

Online [Coursera], Duke University (by Leonard E. White), Aug 2015 – Dec 2015

Medical Neuroscience explores the organization and physiology of the human central nervous system. The course provides students with an understanding of the essential principles of neurological function, from cellular and molecular mechanisms of neural signalling and plasticity to the organization and function of sensory and motor systems.


IEEE Brain Hackathon [2016]

Budapest, Hungary / Oct 8-9, 2016

Participated at the Hackathon and won the 1st prize award with the team project called “neurofeedback loop”.

XTech & NeuroGaming Hackathon [2016]

San Francisco, CA, USA / May 14-15, 2016

Worked at the Hackathon by giving technical support with the OpenBCI technology provided to the participants.


  • 1st place award of the IEEE Brain Initiative Brain Hackathon, Budapest, 8-9 October 2016

CV Braintist 2020

You can download my resume HERE.