Jorge studied Mechatronics Engineering at the National Polytechnic Institute of Mexico (IPN) and Physics at the National Autonomous University of Mexico (UNAM). He continued with his Master of Science (M. Sc.) in Physics, Biological Physics and Computational Biology at Lund University, Sweden.

He obtained his M. Sc. degree in 2019 working in an interdisciplinary project, under the guidance of Prof. Mattias Ohlsson at the department of Computational Biology and Biological Physics of LU, analyzing multi-spectral airborne data to detect archaeological ruins using Computer Vision and Deep Learning methods.

Jorge is currently at The Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano (POLIMI) for a joint Ph. D. along with Université de Strasbourg (UNISTRA), as Early Stage Researcher in the Marie Curie ATLAS project under the European Union Innovative Training Network.

Interested in

Journal club: LaLonde et al, 2018

By Jorge Lazo | April 7, 2020

Capsules for Object Segmentation Rodney LaLonde |Ulas Bagci In the last few years, deep learning-based methods, in particular Convolutional Neural Networks (CNNs), have become the state-of-the-art for various image analysis tasks.  Specifically related to the object segmentation problem, U-Net, Fully Convolutional Networks (FCN) have become the most used models for various medical image segmentation tasks.…

Opening of the Robotics Lab at Politecnico di Milano

By Jorge Lazo | March 3, 2020

On Tuesday, February 18th, Politecnico di Milano opened its doors to celebrate the inauguration of the new laboratories of the Department of Electronics, Information and Bioengineering. In the new facilities, located at Leonardo campus, will work about 100 people including researchers, doctoral, postdoctoral and masters students in different projects: from humanoid robots that help the…