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: Mar 2022
Department of Information and Communication Technologies (DTIC)
MS in PERSONAL DEVELOPMENT AND LEARDERSHIP
Borja Vilaseca Institute, Online / Sep 2020 – Expected: 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)”
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 2020 – Expected: Dic 2020
Pompeu Fabra University (UPF), Oct 2019 – Dic 2019
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.
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.
Online / Abr 20-22, 2020
Assisted in the conference.
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”.
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”.
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”.
Budapest, Hungary / Oct 9-12, 2016
Participated at the conference by explaining the winning project of my team at the IEEE Brain Hackathon 2016.
San Francisco, CA, USA / May 17-18, 2016
Attended the conference.
Attended the conference.
New York Academy of Sciences, New York, USA / June 7-8, 2016
COURSES, SEMINARS, AND WORKSHOPS
Online / Abr 21, 2020 – Expected: end 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 – Expected: 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 – Expected: 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 – Expected: 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 Bueno, Dr 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.
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.
- Computational Methods for Data Analysis
Online, 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.
- Medical Neuroscience
Online, 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.
- Machine Learning
Online, 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.
Budapest, Hungary / Oct 8-9, 2016
Participated at the Hackathon and won the 1st prize award with the team project called “neurofeedback loop”.
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
You can download my resume made by Canva here.