Santiago Galella

Junior Deep Learning Engineer at Neuroelectrics
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Contact Information
us****@****om
(386) 825-5501
Location
ES
Languages
  • German Limited working proficiency
  • Català Native or bilingual proficiency
  • English Full professional proficiency
  • Español Native or bilingual proficiency
  • Japanese Elementary proficiency

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Credentials

  • Design Patterns in Python
    Udemy
    Sep, 2020
    - Sep, 2024
  • DeepLearning.AI TensorFlow Developer Specialization
    Coursera
    Aug, 2020
    - Sep, 2024
  • Probabilistic Graphical Models Specialization
    Coursera
    May, 2020
    - Sep, 2024
  • Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization
    Coursera
    Dec, 2019
    - Sep, 2024
  • Machine Learning with TensorFlow on Google Cloud Platform Specialization
    Coursera
    Nov, 2019
    - Sep, 2024
  • Reinforcement Learning Specialization
    Coursera
    Nov, 2019
    - Sep, 2024
  • Deep Learning Specialization
    Coursera
    Apr, 2019
    - Sep, 2024
  • C1 Advanced – Score 194
    Cambridge Assessment English
    Apr, 2018
    - Sep, 2024

Experience

  • Neuroelectrics
    • Spain
    • Medical Device
    • 1 - 100 Employee
    • Junior Deep Learning Engineer
      • Sep 2021 - Present

      - Application of deep learning for brain MRI segmentation for the creation of biophysical head models. - Improvement and speed up of current pipeline for solving partial differential equations using parallel computing. - Application of deep learning for brain MRI segmentation for the creation of biophysical head models. - Improvement and speed up of current pipeline for solving partial differential equations using parallel computing.

  • Universitat Politècnica de València (UPV)
    • Spain
    • Higher Education
    • 700 & Above Employee
    • Research Assistant in Deep Learning
      • Dec 2020 - Jun 2021

      - Analysis of internal representations and neural coding of multi-task neural networks when using task-dependent contexts. - Study of the viability of incorporating concepts from systems neuroscience to AI, e.g., robustness to adversarial examples. @ Lab of Natural and Designed Intelligence - Analysis of internal representations and neural coding of multi-task neural networks when using task-dependent contexts. - Study of the viability of incorporating concepts from systems neuroscience to AI, e.g., robustness to adversarial examples. @ Lab of Natural and Designed Intelligence

  • Universitat Pompeu Fabra - Barcelona
    • Natural Language Processing Engineer
      • Apr 2019 - Sep 2019

      – Design of a virtual agent to guide and give information to visitors in the department.– Processing of the database and development of the dialogue manager backend.@ Natural Language Processing Research Group (TALN)

    • Research Assistant in Computational Neuroscience
      • Sep 2018 - Sep 2019

      – Study the neural mechanisms that underlie decision making processes with uncertainty.– Design a learning framework for networks composed of probabilistic competitive populations.@ Department of Information and Communication Technologies (DTIC)

  • Roche Diagnostics Europe
    • Software V&V Trainee
      • Sep 2018 - Dec 2018

      – Testing of the Cobas Infinity software, used in pharmaceutical laboratories to control the flow of processes. – Composition, execution and assessment of different tests according to the defined test strategy. @ Roche Diagnostics Sant Cugat – Testing of the Cobas Infinity software, used in pharmaceutical laboratories to control the flow of processes. – Composition, execution and assessment of different tests according to the defined test strategy. @ Roche Diagnostics Sant Cugat

    • Research intern in Cognitive Neuroscience
      • Feb 2018 - Mar 2018

      – Processing of alpha-wave signals to discriminate visual left and right cues for Brain-Computer Interfaces (BCI). – Development of linear classifiers using frequency analysis and support vector machines — achieving almost 70% of accuracy. @ Multisensory Research Group (MRG) at Center for Brain and Cognition (CBC) – Processing of alpha-wave signals to discriminate visual left and right cues for Brain-Computer Interfaces (BCI). – Development of linear classifiers using frequency analysis and support vector machines — achieving almost 70% of accuracy. @ Multisensory Research Group (MRG) at Center for Brain and Cognition (CBC)

    • IT Technician
      • Oct 2016 - Feb 2017

      – Verification and assessment of computer hardware on campus.– Laptop loan services and student support in the library building.@ Library and IT Services, Campus Mar

    • Research Intern in Computational Modelling
      • Jul 2016 - Sep 2016

      – Characterization and 3D processing of the meshes of the Left Atrial Appendage (LAA) from 38 patients.Study of spectral correspondence between different morphologies to enhance shape of occluders to prevent thrombus formation.@ Sensing in Physiology and Biomedicine Group (PhySense) at Department of Information and Communication Technologies (DTIC)

Education

  • Universitat Pompeu Fabra
    Bachelor of Science - BS, Biomedical Engineering
    2014 - 2018
  • Universitat Pompeu Fabra
    Master in Intelligent Interactive Systems, Computer Science
    2018 - 2019
  • Eberhard Karls Universität Tübingen
    Bachelor of Science - BS, Computer Science
    2017 - 2017

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