Teaching

• Institutions: University of Chile, Universidad Santo Tomás, Universidad Andrés Bello
• Position: Lecturer / Professor
• Duration: 2015 – Present
  One of my greatest passions is teaching. As both my parents are educators, I understand how challenging and rewarding it is to engage others in their learning process.
• Description: Over the years, I have taught a range of courses—from foundational subjects such as mathematics and physics to specialized topics in electrical engineering, including image processing and related lab work.

Thesis Supervision and Committee Participation

Advisor – Faculty of Physical Sciences and Mathematics, University of Chile

• 2023: Transformer-type neural networks for classifying HER2 protein overexpression in gastric cancer biopsy images.
  Author: Diego Muñoz (DIE). Read Thesis
• 2024: Automated diagnosis of glaucoma using Machine Learning tools applied to Chromatic Pupilometry data.
  Author: Manuel Zamorano (DIE). Read Thesis

Co-Advisor – Faculty of Physical Sciences and Mathematics, University of Chile

• 2025: Segmentation and quantification of arterial calcifications in breast tomosynthesis using Deep Learning and Vision Transformers.
  Author: Bastián Castelli (DIE). In progress.
• 2025: Deep Learning-based segmentation and classification of sperm heads for normality evaluation.
  Author: Pilar Nilo (DIE). In progress.
• 2024: Monitoring calving events through image processing.
  Author: Catalina Zapata (DIE–Geophysics). In progress. Poster

Committee Member – Faculty of Physical Sciences and Mathematics, University of Chile

• 2023: Intelligent image recognition engine for last-mile delivery quality control.
  Author: Franco Mirauda (DIE). Read Thesis
• 2023: Detection and portion estimation of granular ingredients using computer vision.
  Author: Gonzalo Hernández (DIE–DCC). Read Thesis

Evaluator – Department of Medical Technology, Faculty of Medicine, University of Chile

• 2025: Breast density estimation in T1-weighted MRI using Deep Learning.
  Authors: Vicente Cajas Barrientos, Sebastián Millar Tordecillas
• 2024: Estimation of breast density in digital mammography and tomosynthesis using AI.
  Authors: Francisca Bustamante, Sofía Rivas
• 2023: Quantification of vascular calcifications in breast tomosynthesis using AI.
  Authors: Constanza Ramírez, Marcelo Flores

Internship Supervision – SCIANLab (University of Chile)

• 2024
  • Matías Carvajal Pérez (DIE) – “Measurement of membrane force exerted by a cell”
• 2023
  • Leslie Cárdenas Villegas (DIE) – “Development of segmentation methods with limited or low-quality training data”
  • Manuel Zamorano Canales (DIE) – “Literature review on Transformer-type Neural Networks”
  • Vanessa González Arriagada (DIE) – “Segmentation of cell nuclei using Deep Learning under jamming conditions”
• 2022
  • Magdalena Álvarez Piña (DCC) – “3D Light-sheet image rotation for visualizing embryo development in annual fish”