I graduated from  the University from Zaragoza in 2009 on Telecommunication Engineering, having completed my Master's Thesis at the Lifetronics department from the Fraunhofer IPMS institute. After working for over a year at the Institute for Biomedical Engineering at the Dresden University of Technology, I moved to Berlin to attend the Master on Computational Neuroscience at the Bernstein Center. During this second Master's degree I carried out successive lab rotations at Humboldt University in Berlin, Advanced Telecommunications Research Institute in Kyoto, Japan, and the University Medical Center Hamburg-Eppendorf, where I also worked on my Master's Thesis in robot cognition and sensorimotor interaction. I joined the Italian Institute of Technology in June 2013 to pursue a PhD on machine learning for robotics with the iCub humanoid robot, which I completed in April 2017. 
​For more details, check out my work experience and academic education below.

Work Experience

11/2017 - present  - Advanced Robotics Engineer - Dyson Ltd.
Research on robotic platforms and technologies at Dyson.
  
01/2016 - 10/2017  - Senior Research Fellow - Italian Institute of Technology
Developing and showcasing tool affordance demos on iCub. Adaptation of computer vision algorithms from iCub to WALK-MAN.

10/2011 - 02/2012  - Student Research Assistant - ​BCCN-Berlin, Berlin, Germany. 
Experimental set-up for modeling human decision-making processes.

​07/2011 - 09/2011 -  Trainee (IAESTE) - Manipal Institute of Technology, Manipal, India.
Non-linear multi-class classification algorithms for early diagnosis of cancer based on blood serum protein profiles.

11/2010  -  07/2011 -  Student Research Assistant - Berlin NeuroImaging Center, Berlin, Germany.
Implementation an interface to integrate the output of a near-infrared spectroscopy brain imaging system into an EEG-based BCI toolbox.

06/2010 - 09/2010 - Trainee (IAESTE) - School of Information Technology, at Thái Nguyên University, Vietnam. Simulation in MATLAB of partial differential equations approximations by means of cellular neural networks.

04/2009 - 01/2010 - Research Assistant - Institute of biomedical engineering, at Dresden University of Technology, Germany. Development of e-learning content. Feature selection and classification for heartbeat discrimination.

04/2008 - 06/2008 - Student Research Assistant - Lifetronics department, at Fraunhofer IPMS, Dresden, Germany. Research on ECG classification, neural network paradigms, and wearable devices

Academic Education

06/2013 - 04/2017 -  PhD in Artificial Intelligence for Robotics
Italian Institute of Technology, Genova, Italy.​
Topic: Affordances for and from manipulation; A developmental approach to tool use learning on Cub.
Tasks:
    ● Development of cognitive architectures for self-supervised tool affordance learning
         + Implementation of exploratory behaviors in iCub to discover affordances.
         + Realization of segmentation and tracking algorithms in 2D and 3D to discriminate tools and target objects. 
         + Implementation of vision algorithms for tool feature extraction, using openCV and PCL. 
         + Application of Machine Learning techniques, including deep learning, support vector machines, self-organized maps, regression, K-means, etc, in order to learn the correlation between tool’s features and the effects they achieved during exploration.
    ● Preparation and execution of experimental setups with the iCub humanoid robot
    ● Implementation of iCub demos for visitors, press or TV, at IIT and abroad.

​10/2010 - 10/2013 - International Master in Computational Neuroscience
Bernstein Center for Computational Neuroscience, Berlin (BCCN-Berlin), Germany
Master's Thesis:
● Neurobiologically inspired computational models of extended sensorimotor contingencies for robot control. UKE, Hamburg, Germany.
- Topic: Apply recurrent neural network paradigms in order to model the action-perception loop for robot control.
Lab Rotations:
● Refinement and extension of body-map approaches. Humboldt University, Berlin, Germany.
 - Task: Merging the RIAC artificial curiosity algorithm with Olsson’s Information Theory approach to body map generation to obtain a Curiosity Driven Motor Babbling algorithm.
● Standard sensor space representations for robust BCI. ATR laboratories, Kyoto, Japan
 - Task: Standardization of VBMEG data and comparison with non-standardize data. Development of BCI appliance selector based on P300 wave.
● Virtual hand experiments to study of sensorimotor contingencies in humans. UKE, Hamburg, Germany.
 - Task: Perform an experiment for the study of synchronization perception in humans

09/2002 - 03/2009 - Telecommunication Engineering.
University of Zaragoza, Zaragoza, Spain.
Erasmus year at Dresden University of Technology
Master's Thesis:
 ● Classification of ECG: A neural network approach for a wearable device. Fraunhofer IPMS , Dresden

See my citations at
​Google Scholar
Check the details on my
Curriculum Vitae