.: Educational background

I did my undergraduate studies at Escuela Tecnica Superior de Ingenieros de Telecomunicacion (ETSIT) de la Universidad Politecnica de Madrid and Ecole Nationale Superieure des Telecommunications de Paris (ENST). I studied the Double Diploma in Electrical and Computer Engineering co-sponsored by these two institutions and graduated in September 2005, after having specialised in Applied Mathematics and Artificial Intelligence.

I completed a Master of Research in Applied Mathematics for Computer Vision and Machine Learning from Ecole Normale Superieure de Cachan in France between September 2004 and September 2005.

I first arrived at the Center for Imaging Science - today part of the Institute for Computational Medicine - of the Johns Hopkins University in April 2005, where I worked on my Master's thesis under the supervision of Professors Donald Geman and Laurent Younes. In January 2006, I became a student of the Ph.D. program at the Applied Mathematics and Statistics Department.

.: Doctoral education

My main areas of study involve the domains of Machine Learning, Pattern Recognition and Artificial Intelligence, namely addressed from the perspective of Information Theory.  I am particularly interested in their applications in Bioinformatics and Computational Biology.

As a part of my doctoral education at Hopkins, I have taken the following courses:

• Graph Theory
• Machine Learning
• Statistical Methods in Imaging
• Matrix Analysis and Linear Algebra
• Topics in Bioinformatics
• Statistical Theory I
• Statistical Theory II
• Statistical Pattern Recognition
• Computational Functional Genomics

I have also worked as a Teaching Assistant for the following courses:

• Bioinformatics and Statistical Genetics
• Scientific Computing
• Probability and Statistics