Resource allocation and transport networks design have long been studied by life, most of the time human solutions rely on having perfect centralized information of the environment for decision making, this thesis aims to solve these problems in a distributed manner comparing the pros and cons with classical approaches, specifically with focusing in the use of liquid brains, cognitive networks without a solid structure having the ability to tackle information-processing tasks.Resource allocation and transport networks design have long been studied by life, most of the time human solutions rely on having perfect centralized information of the environment for decision making, this thesis aims to solve these problems in a distributed manner comparing the pros and cons with classical approaches, specifically with focusing in the use of liquid brains, cognitive networks without a solid structure having the ability to tackle information-processing tasks.

Memorial installation that shows the face of the
Mexican disappeared person that most resembles yourself from a
2500 image database we scrapped. Includes other strong fact
checking and a sensitive VR Oculus Go expierence designed for
reflection and empathy. Developed in Flask, RPI and Python as
social work at DataLabITAM. The installation is touring around
different venues as universities, museums and festivals.

Visual exploration of Mexico city
public bike sharing system (ecoVIZ), What moves Bitcoin?. 2 peer
reviewed articles focused on visualizing information using ML and
data science.

Image processing bot in twitter. Scrapes images, or
receives them as a twit, then filters them with visually
appealing mathematical transformations and reposts them. Twit him
something.

Implemented some tools
for computer vision, NLP, data science, and other topics. Clone
the notebooks.