My name is Pablo Mesejo Santiago and I am a researcher at Inria (France), one of the top institutions in computer science and mathematics.

I have a PhD in Computer Science from the University of Parma (Italy, 2013), a Postgraduate degree in Bioinformatics, Genomics and Structural Biology from the Open University of Catalonia (Spain, 2010) and a Master in Computer Science from the University of A Coruña (Spain, 2009).

From July 2010 to July 2013 I was employed as Early Stage Researcher within the Marie Curie ITN MIBISOC ("Medical Imaging using Bio-Inspired and SOft Computing") at the Department of Information Engineering of the University of Parma, where I also worked as teaching assistant. My PhD dissertation was focused on the automatic segmentation of anatomical structures in biomedical images (mainly brain histological images) using deformable models and soft/bio-inspired computing. During this period I was visiting researcher at the University of Nottingham (UK) and the European Center for Soft Computing (Spain).

After that, from September 2013 to August 2014, I was working as postdoctoral researcher at the ALCoV team (Advanced Laparoscopy and Computer Vision) of the ISIT lab (Image Sciences for Interventional Techniques, UMR 6284 – CNRS) in the Faculty of Medicine of the University of Auvergne Clermont-Ferrand I (France). The work developed was mainly focused on deformable feature-based image registration and 3D measurement and characterization of neoplasias from endoscopic videos in gastroenterology. Later, I moved to the MISTIS team (Modeling and inference of complex and structured stochastic systems) of Inria Grenoble Rhône-Alpes (France), and from September 2014 to August 2016 I was working as postdoctoral researcher in the estimation of biophysical parameters from fMRI signals through evolutionary-based optimization to study brain function.

Currently, I hold an Inria Starting Researcher Position at the PERCEPTION team (Interpretation and Modeling of Images and Videos) of Inria Grenoble Rhône-Alpes. My work is mainly related with the integration of deep learning into probabilistic generative models for visual and audio recognition.

Pablo Mesejo Santiago,
Dec 15, 2016, 5:33 AM