ACADEMIC PROFILE:
[2013 - 2016] From 2013 to June 2016 I was enrolled as PhD student at Universite Lille 2. Under the supervision of Maximilien Vermandel (INSERM U703) and Laurent Massoptier (AQUILAB), I develop my PhD. thesis which is entitled "Towards automatic segmentation of organs at risk on brain cancer on MRI through deep learning techniques and its application to clinical routine". This thesis is integrated inside the european SUMMER Project, where AQUILAB is the coordinator. I obtained my PhD diploma the 15th, June, 2016, with the highest distinction (Summa cum laude).
Visiting Researcher during one month(January 2014) at the University Medical Center Freiburg in the Radiation Oncology department.
Visiting Researcher during one month(October 2014) at the Medical University of Vienna (MUW) in the Digital Image Processing Laboratory Center of Medical Physics and Biomedical Engineering
[June/2010] Bachelor and MSc Degree in Telecommunications & Electrical Engineering in Polytechnic University of Valencia, majoring in signal processing and developing the Master ́s Thesis in Högskolan I Gävle (Sweden), with an Erasmus grant.
WORK EXPERIENCE:
[Jul/2016 - Present] Post-doctoral researcher at the LIVIA department of the ETS, in Montreal. Following my research during the obtention of my PhD degree, I keep on working on bringing the power of deep learning to the problem of automatizing segmentation in medical images.
[Nov/2012 - May/2016] Marie Curie Early Stage Researcher at Aquilab, on the SUMMER Project. “SUMMER” was devised to
produce a unique software solution using all imaging techniques for biological target volume delineation, based on spatial co-registration of multi-modal morphologic and functional images. My
main tasks regarding this project focused on finding novel automatic or semi-automatic segmentation methods to delineate Organs at Risk in radiotherapy. As quantity of information at medical
images are becoming larger really fast, efficient processing of these kind of images is a must in order to the algorithms may be be used in clinical routine. This fact made me combine CPU
and GPU programming when implementing the solutions found in the research step. Apart of the programming knowledge and skills already present before starting this stage, I improved and learned
new ones, like OpenCL, ITK or MITK.
[Oct/2011 - Nov/2012] Team Leader and Researcher at Computer Vision Department at ARLab. In this
stage I was mainly involved in these topics: Image Matching, 3D image Tracking, 3D face Tracking and Detection and Motion, all markerless-based. This work included from the research to
the implementation of the methods. As other tasks, I also had to rewrite some functions in assembler, in order to speed up some processes. However, this is still an early stage for me. I was the
responsible of developing all the core code for the Image Matching and 3D Image Tracking Engines that the company used as SDK for developers. I also actively participated in the SDK creation
of these engines, with which I strongly improved my C++ skills. Regarding the communication and team-work skills, at the spanish office we had people from several countries, and the company
also had an office in Haifa (Israel), which allowed me to improve these skills due to the daily co-operation between both offices and also the co-operation between members of different
teams (Computer Vision, Real-time and Mobile Development).
[Oct/2010 – Sept/2011] Scholarship in Research at Applications Area and Technological Services at Biomechanical Institute of Valencia. Image and Video processing, Pattern Recognition and 3D Modelling tasks focused in biomechanical applications. These tasks were carried out using different programming languages, such as Matlab or C++, and using some libraries like Qt or OpenCV for interfaces and Image Processing, respectively. Specifically I was involded in two main projects, a footprint laser Scanner in which I develop and improve all the Image Processing algorihtms(MATLAB and C++) and a 3D Face Scanner where I participated developing some parts of that project, like auto- camera calibration software (C++) or some pre-processing parts (MATLAB and C++).
-[Dec/2009-Jun/2010 ] "Laboratory assistant" in Radio Center for Technology Gävle. Laboratory support functions such as taking measurements, systems´s calibration or implementation of several applications with the GUI of MATLAB for processing the measurements taken. Apart from that, here I worked in an international environment, where I was able to develop my personal skills.