CV

My full Curriculum Vitae is available for download using the PDF button at the top of this page.

Contact Information

Name Felipe I. Gutiérrez González
Professional Title PhD Researcher
Email figutier@uc.cl
Location Santiago,
Website https://figutierg.github.io

Professional Summary

PhD candidate in Engineering Sciences at PUC, currently a Visiting Research Intern at the AIDOS Lab, University of Fribourg. Affiliated PhD Researcher at the National Center for Artificial Intelligence (CENIA).

Experience

  • 2026 - 2026

    Visiting Research Intern
    AIDOS Lab, University of Fribourg
    Conducted international research collaboration focusing on the intersection of Deep Learning and Topological Data Analysis (TDA). Investigated topology-based measures of generalization of deep neural networks based on training trajectories.
  • 2023 - 2024

    Research Assistant
    Pontificia Universidad Católica de Chile
    Project: ‘Neural Bases of Language Acquisition’. Processed and analyzed EEG data from infants. Conducted research into Temporal Response Function (TRF) models.
  • 2023 - 2023

    AI Research Intern
    Banco de Crédito e Inversiones (BCI)
    Prototypes a system to detect neural network models decalibration by implementing a ‘Topological Uncertainty’ score. Conducted benchmarking study on vector databases.
  • 2022 - 2022

    Machine Learning Intern
    Entel
    Designed and trained a deep learning model for Speech Emotion Recognition from audio recordings.
  • 2021 - 2021

    Data Science Intern
    Entel
    Prototyped and evaluated RSS-based algorithms for user geolocation using mobile network antenna signal strength.
  • 2020 - 2021

    Research Assistant
    MiDaS UC
    Supported research for optimizing wastewater sampling strategies for COVID-19 surveillance by processing geographical and graph data.
  • 2019 - 2019

    Data Science Intern
    ISA Intervial
    Implemented a Bayesian statistical model to quantify and predict vehicular accident risk across a national highway network.
  • 2019 - 2021

    Consultant
    Economatica
    Automated institutional data pipelines by developing web data retrieval and processing projects.
  • 2018 - 2018

    Geospatial Data Analyst Intern
    AES Gener
    Analyzed geographic data to select optimal sites for residential-scale renewable energy projects.

Education

  • 2021 - Present

    PhD
    Pontificia Universidad Católica de Chile
    Engineering Sciences
  • 2018 - 2021

    Master
    Pontificia Universidad Católica de Chile
    Data Management and Processing
  • 2016 - 2017

    Master
    Pontificia Universidad Católica de Chile
    Urban Development
  • 2013 - 2017

    Professional Degree
    Pontificia Universidad Católica de Chile
    Urban Planning
  • 2013 - 2016

    BSc
    Pontificia Universidad Católica de Chile
    Social Science

Awards

  • 2024
    National Doctorate Scholarship
    National Research and Development Agency (ANID), Chile
  • 2019
    San Andrés Scholarship
    College UC
  • 2021
    Top-Ranked Graduate (Rank 1/12)
    Master in Data Management and Processing, PUC
  • 2017
    Top-Ranked Graduate (Rank 1/2)
    Urban Planning Professional Degree, PUC
  • 2016
    Top-Ranked Graduate (Rank 1/56)
    BSc. of Social Science, PUC

Publications

  • 2025
    NeurReps Workshop @ NeurIPS 2025
  • 2024
    Proceedings of the National Academy of Sciences
  • 2024
    SoftwareX
  • 2022
    EPJ Data Science

Skills

Machine Learning & AI (Advanced): Deep Learning, Topological Data Analysis (TDA), Generative AI APIs
Geospatial Data Science (Advanced): GIS, Spatial Clustering
Programming & Stack (Advanced): Python, SQL, PyTorch, Scikit-learn, Pandas, Geopandas

Languages

Spanish : Native
English : Professional Working Proficiency