My Resume


Ph.D. student in Biomedicine at the Pompeu Fabra University (UPF) with a Master Degree in Cognitive Neuroscience and a Bachelor Degree in Biomedical Engineering.


Ph.D in Biomedicine (Cognitive Neuroscience)

  •  Universitat Pompeu Fabra (UPF), Dic 2017 – Expected: Sep 2020

MS in Brain and Cognition (Cognitive Neuroscience)

  •  Universitat Pompeu Fabra (UPF), Sep 2016 – Sep 2017


  • Computational Neuroscience
  • Data analysis for Cognitive Neuroscience
  • The Physiological Basis of Visual Perception
  • Neuroimaging methods
  • Cognitive Neuroscience of Language
  • Cognitive Neuroscience of Perception and Attention
  • Social Cognitive Neuroscience


“A closed loop Bran Computer Interface (BCI) on EEG alpha activity”

BS in Biomedical Engineering

  •  Universitat Politecnica de  Catalunya (UPC)Sep 2011 – Jun 2015
  •  Politecnico di Torino (Thesis project), Sep 2015 – Feb 2016


  • Engineering of Neuromuscular System (Taught in Italian)
  • Biomedical Signal Processing
  • Biomedical Image Processing
  • Biomaterials and Biomechanics
  • Sensors and Signal Conditioners


Brain-Computer Interfaces (BCI) based on Movement-Related Cortical Potentials (MRCP)”



Neuroscientist Resident

OPENBCI, INC,  Brooklyn, New York, United States / Apr 2016 – Aug 2016.

  • OpenBCI stands for open-source brain-computer interface (BCI). The OpenBCI Board is a versatile and affordable bio-sensing microcontroller that can be used to sample brain electrical activity (EEG), muscle activity (EMG), heart rate (EKG), and more. It is compatible with almost any type of electrode and is supported by an ever-growing, open-source framework of signal processing tools & applications.
  • My primary goal is comparing motor imagery with motor execution such as different studies have been doing during the last decade, as well as differentiating between right and left-hand movements. To accomplish this, I’ll base my research in narrowing my frequency range into alpha (mu) and beta waves.

Junior Biomedical Engineer Intern

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

  • FICOSA is a multinational corporation devoted to the research, development, production and commercialisation of systems and parts for the automobile, as well as for both commercial and industrial vehicles.
  • Worked in the Healing Drop Project, which consists of developing medical multiparametric processing algorithms and biomedical data and user behavior relevant for the detection of excessive sleepiness during driving.
  • Validated the multiparametric processing algorithms applied to all the data.

Biomedical Equipment Technician Intern

AGENOR MANTENIMIENTOS, S.A.,  Vic, Catalonia /  Jul 2014 – Aug 2014.

  • The Electro-medicine Unit of Vic University Hospital deals with the repair, maintenance and inventory of the medical tech-equipment.
  • Revised all Medical Devices of the Hospital according to Directives.
  • Helped with the medical equipment and Hospital installation reparations by applying my knowledge of Electronics, Mechanics, Informatics, Electrics and Medical Equipment.


Volunteer at the National Center for Adaptative Neurotechnologies

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

  • Studies include sensorimotor rhythms (SMR)
  • EEG Signal processing in MATLAB and EEGLAB.
  • Data analysis of EEG datasets in R program.
  • 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.

Assistant Research

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.


Computational Methods for Data Analysis

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

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 an understanding of the essential principles of neurological function, from cellular and molecular mechanisms of neural signaling and plasticity to the organization and function of sensory and motor systems.

Machine Learning

Standford University (by Andrew Ng) , Jun 2016 – Present

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: Supervised learning, Unsupervised learning, and best practices in machine learning.


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



 Job Specific skills

Critical thinking • Extremely methodical • Attention to detail • Excellent problem-solving skills • Good communication skills • Good planning and organization skills • Can work in a multidisciplinary team

Software skills

MATLAB • Processing  (Java) • Arduino • Python •  MarkdownPad • LATEX • SolidWorks


Credible • Able to follow instructions • Respect procedures • Self-motivated • Curious • Educated • Communicative

Outside interests

Travel • Watching and playing sports • Photography • Music • Books • Cooking




  • Catalan
  • Spanish


  • English (C1)
  • French (A2)
  • Italian (B1)


Born in: Barcelona, Catalonia

Date of Birth: Oct 01, 1993

Driving license: B1

Scientific Societies: IEEE student membership


You can download my Resume from Dropbox here.