Biography

I’m a mathematical engineer with an MSc degree in applied mathematics at the University of Chile. My research interests lie in Inverse Problems, PDEs and Deep Learning. I like to apply my knowledge in real-world problems, especially in those arising from the biomedicine area and medical imaging.

Currently, I’m working as a young researcher at the Millennium Nucleus for Cardiovascular Magnetic Resonance, where the goal of the project I’m carrying out is to reconstruct strain parameters from cine-MRI sequences with an image registration approach based on physics-informed neural networks. These strain parameters are, nowadays, being used to make better diagnosis and prognosis of heart’s diseases.

In my leisure time, I like to learn new things about deep learning, play the piano, play football, take a walk with Brunildo and listen to new musicians.

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Interests
  • Inverse Problems
  • Partial Differential Equations
  • Finite Element Method
  • Deep Learning
  • Physics-Informed Neural Networks
  • Medical Imaging
Education
  • MSc in Applied Mathematics, 2020

    Universidad de Chile, Facultad de Ciencias Físicas y Matemáticas

  • Civil Mathematical Engineering, 2020

    Universidad de Chile, Facultad de Ciencias Físicas y Matemáticas

  • BSc in Engineering, with specialization in mathematics, 2018

    Universidad de Chile, Facultad de Ciencias Físicas y Matemáticas

  • Minor in Quantum Physics, 2018

    Universidad de Chile, Facultad de Ciencias Físicas y Matemáticas

Skills

Python

80%

tensorflow-icon
Tensorflow

80%

icons8-matlab
Matlab

90%

Experience

 
 
 
 
 
Young researcher
Sep 2020 – Present Santiago, Chile

Obtain cardiac strain parameters from cine-MRI sequences with physics-informed neural networks. Responsibilities include:

  • Learning about MRI
  • Modelling
  • Programming
  • Deploying
  • Technologies used: Python, Tensorflow
 
 
 
 
 
Master Project
Mar 2019 – Oct 2020 Santiago, Chile

Stability for an inverse problem related to a 2D model of Light Sheet Fluorescence Microscopy based on heat equation and extension of the direct model to the 3D case.

  • Technologies used: Matlab, Python, Tensorflow, Google Colab, High-Performance Computing with NLHPC
 
 
 
 
 
First Director
Mathematical Engineering Students Center at Universidad de Chile, Facultad de Ciencias Físicas y Matemáticas
Apr 2017 – May 2018 Santiago, Chile
Organize activities for the students community of the mathematical engineer career. I organized a baby football tournament, seminars with professors, among others activities.

Accomplish­ments

AI for Medical Diagnosis
Deep learning techniques applied to medical diagnosis.
See certificate

Recent & Upcoming Talks

Recent Publications

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