cv

Here's a quick snapshot of my resume!. For more details, feel free to download the attached PDF.

Basics

Name Fernando García Gutiérrez
Label Data Scientists
Email ga.gu.fernando.contact@gmail.com
Url https://fernandogagu.github.io/
Summary PhD candidate in computer science specialized in Artificial Intelligence.

Work

  • 2022.04 - Present
    Researcher in applied Artificial Intelligence (AI)
    Department of Artificial Intelligence and Big Data applied to Neurology, Ace Alzheimer Center Barcelona
    Development of pipelines and application of AI models based on neuroimaging, speech and neuropsychological data.
    • Artificial Intelligence
    • Neuroimaging
    • Natural language processing
    • Neuropsychological data
  • 2021.05 - 2022.04
    Quantitative Analyst
    Investing PROFit Wisely
    Implementation of financial AI models and development of fundamental analysis strategies.
    • Artificial Intelligence
    • Time series analysis
  • 2020.02 - 2020.07
    Intern
    Department of Computer Architecture and Automation, Complutense University of Madrid
    Development of predictive models applied to neurodegenerative diseases.
    • Artificial Intelligence
    • Neurodegenerative diseases

Education

  • 2020.10 - PRESENT

    Madrid, Spain

    PhD
    Complutense University of Madrid
    Computer Science
    • Thesis: New approaches based on Artificial Intelligence for the study of neurodegenerative diseases and brain connectivity.
  • 2019.10 - 2020.10

    Madrid, Spain

    Master's Degree
    Polytechnic University of Madrid
    Computational Biology
    • Thesis: Tool for automatic diagnosis of neurodegenerative diseases by Machine Learning techniques.
  • 2015.10 - 2019.06

    Balearic Islands, Spain

    Degree
    University of the Balearic Islands
    Biochemistry
    • Thesis: Exploring the development and applications of DESI-MS (desorption electrospray ionization mass spectrometry) and REIMS (rapid evaporative ionization mass spectrometry) technologies.

Skills

Artificial Intelligence
Supervised, unsupervised and semi-supervised learning
Generative models
Reinforcement learning
Probabilistic graphical models
Explainable Artificial Intelligence
Graph Neural Networks
Feature selection techniques
Time series modeling

Languages

Spanish
Native speaker
English
Fluent

Projects

  • 2024.01 - 2028.01
    SpeechDx
    International consortium focused on developing early digital biomarkers for Alzheimer’s disease.
    • Speech analysis
  • 2024.01 - 2026.01
    COMFORTage
    International project aimed at developing personalized interventions using Artificial Intelligence.
    • Personalized medicine
  • 2022.01 - 2025.01
    TARTAGLIA
    National project focused on creating federated networks for training AI models in healthcare.
    • Federated Learning
  • 2024.01 - 2026.01
    SCAP-AD
    National project aimed at developing precision preventive and diagnostic tools for Alzheimer’s disease.
    • AI-based screening tools