Biography

I am a Data Scientist trying to keep up with the state of the art on the different areas of AI from tabular data algorithms to Computer Vision and Physics informed neural networks.

I’m the creator of TensorFlow Santiago comunity, that is now oficially part of Google’s TFUG communities. Because of this, if you have any project that can make a positive impact send me an email, we might be able to get you some Google Cloud resources to run your models.

I’m also a member of ICOVID Chile which is a group created by the universities of Chile, Católica and Concepción whose general purpose is to generate key indicators that best represent the situation of the SARS-CoV-2 pandemic.

Interests

  • Mathematical Optimization
  • Energy Systems
  • Game Theory
  • Operation Research
  • Machine Learning
  • Artificial Intelligence
  • Data Science

Education

  • MEng with specialization in Applied Mathematics, 2019

    Universidad de Chile, Santiago.

  • Civil Engineering in Mathematics, 2019

    Universidad de Chile, Santiago.

  • BSc in Engineering with specialization in Mathematics, 2017

    Universidad de Chile, Santiago.

  • Summer courses, 2017

    Instituto de Matematica Pura e Aplicada, Rio de Janeiro.

Experience

 
 
 
 
 

Data Scientist

X - Analytic

Jan 2021 – Present Santiago, Chile
Creation of preventive maintenance models and soft sensors focused on the mining industry.
 
 
 
 
 

Data Scientist - Researcher

ICOVID Chile

Jul 2020 – Present Santiago, Chile
My main job is to generate key indexes to best represent the situation of the pandemic caused by the SARS-CoV-2 virus
 
 
 
 
 

Visitor Researcher

Inria Nord Europe Lille

Oct 2019 – Apr 2020 Lille, France

Research and numerical implementation of algorithms for pricing in energy markets.

  • Technologies used: Julia, Matlab
 
 
 
 
 

Master project

Universidad de Chile, Inria Lille

Jan 2019 – Sep 2019 Santiago Chile & Lille, France

Bi-level Nash-single stochastic follower model for modeling competition in mixed energy markets including network and capacity constraints.

  • Technologies used: Julia, Matlab
 
 
 
 
 

Internship

Banco Central de Chile

Dec 2017 – Feb 2018 Santiago, Chile

Working with databases. Creating and implementing a method inspired by text mining techniques and Simulated annealing in order to compute how many new job positions were created in a determined period of time.

  • Technologies used: SAS, R
 
 
 
 
 

Project

Centro de Modelamiento Matemático

Jul 2017 – Dec 2017 Santiago, Chile

Reconstruction of Transcription Regulatory Networks. A method based on Steiner tree problem was developed and programmed.

  • Technologies used: Python
 
 
 
 
 

Internship

Centro de Investigación Avanzada en Educación CIAE

Jan 2017 – Feb 2017 Santiago, Chile
Creation and resolution of math olympiad problems for university and highschool students.
 
 
 
 
 

Internship

Instituto de Ciencias Biomédicas (ICBM)

Jan 2016 – Feb 2016 Santiago, Chile

Development of cancer detection method based on Gene expression.

  • Technologies used: R

Recent Posts

Hand tracking and volume gesture controller

We will first lean how to use our webcam video as an input for a Hand tracking model, and we will modularize it in order to make it easy to use in other projects. As a test, we will build a volume gesture controller, such that we can control the volume of our computer using hand gestures.
Jun 18, 2021 14 min read

Conic Optimization on Julia

Here I will describe a bit about conic programming on Julia based on Juan Pablo Vielma’s JuliaCon 2020 talk and JuMP devs Tutorials. We will begin by defining what is a cone and how to model them on JuMP together with some simple examples, by the end we will solve an mixed - integer conic problem of avoiding obstacles by following a polynomial trajectory.
Aug 7, 2020 9 min read

Scientific Machine Learning on Julia

Here is what I’ve learned from the WorkShop Doing Scientific Machine Learning (SciML) With Julia from Chris Rackauckas. There is also an MIT course and Workshop exercises (with solutions) by the same author about this subject that I’ve been checking out and strongly recomend.
Last updated on Aug 7, 2020 16 min read

Learn Julia via epidemic modelling

An overview of what I’ve learned from the workshop
Last updated on Jul 29, 2020 11 min read

Recent & Upcoming Talks

Bilevel optimization applied to strategic pricing in electricity markets and extension to markets with massive entry of renewable energies

Dec 3, 2019 8:30 AM — Dec 4, 2019 7:30 PM EDF'Lab Paris-Saclay

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