Key accomplishments

I developed a mobile app for residents living in high-profile residential areas, to send private invitations to their contacts whose granted access is verified via QR code.

I implemented Neural Networks to inverting Radon transforms and reconstructing Generalized Parton Distributions in their whole kinematical domain.

I implemented regression Machine Learning algorithms to processing radio molecules spectral lines from stellar gases in order to infer physical properties of the sources.

Currently I am implementing object detection algorithms to analyzing ocean images containing several types of plankton with the ultimate goal of estimating the quantity of carbon that is extracted form the atmosphere and gets trapped within the oceans (biological carbon pump).

Role 1
Machine learning engineer
Role 2
Data scientist
Test Score
AI, Machine learning, Data Science
100%
Unspecified
part-time-16-hours-per-weekfull-time 40-hours-per-weekcontract
Any
Junior
Mexico
Any
NA
Remote
Willing to work for equity + rewardsWilling to work for paid projectsWilling to work for stock and paid projects

Tags

AITechHealthtechClimateTech

Education

  • August 1 2011 - February 26 2016
    Universidad Michoacana San Nicolás de Hidalgo

    Ph.D.

    During my Ph.D. I have studied the infrared behavior of correlation functions in Yang-Mills theory in Landau gauge, within an extended model that explicitly includes a gluonic mass term (Curci-Ferrari model). In particular, I have studied the integration of the Renormalization Group equations of propagators and vertices, analyzing their dependence on the particular renormalization scheme.

Experience

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