Guillermo Sahonero

Welcome.

I am a doctoral candidate at the Institute for Biological and Medical Engineering (IIBM) at UC Chile, working at the Center for Biomedical Imaging (CIB) and the Millennium Institute for Intelligent Healthcare Engineering (iHEALTH).

My work sits at the intersection of physics (Magnetic Resonance Imaging), scientific computing (Julia & Python) and artificial intelligence (Deep Learning & Optimization). I specialize in MRI simulations, sequence design, and optimization, but I also have experience in Computer Vision, Brain-Computer Interfaces, and Engineering Education.


I always welcome collaborations, questions, or just a chat about science, code, or anything in between. Beyond academics, I enjoy photography, music, web development, coffee brewing, and gluten-free baking. Feel free to reach out.

Short Bio

Originally from Bolivia, I served as a full-time university lecturer and researcher at UCB before joining the Institute for Biological and Medical Engineering (IIBM) at UC Chile, working at the Center for Biomedical Imaging (CIB) and the Millennium Institute for Intelligent Healthcare Engineering (iHEALTH) in Chile.

Beyond traditional research, I am deeply invested in interdisciplinarity, open science, collaboration and knowledge sharing. I program extensively in Julia and Python. I contributed to MRI Together and CAMERA from ESMRMB, the ISMRM Latam Chapter, the IEEE P2731 WG (Brain Computer Interfaces Unified Terminology).

My work at industry focused on the development of embedded systems and full-stack web solutions (Natural Bolivia), data science (Entel PCS) and natural language processing (Bci).

Publications

2021

Easttom, C., Bianchi, L., Valeriani, D., Nam, C., Hossaini, A., Zapała, D., Roman-Gonzalez, A., Singh, A., Antonietti, A., Sahonero-Alvarez, G., Balachandran, P. (2021). A functional BCI model by the P2731 working group: control interface. Brain-Computer Interfaces.

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Easttom, C., Bianchi, L., Valeriani, D., Nam, C., Hossaini, A., Zapala, D., Roman-Gonzalez, A., Singh, A., Antonietti, A., Sahonero-Alvarez, G., Balachandran, P. (2021). A Functional Model for Unifying Brain Computer Interface Terminology. IEEE Open Journal of Engineering in Medicine and Biology.

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Sahonero-Alvarez, G., Singh, A., Sayrafian, K., Bianchi, L., Roman-Gonzalez, A. (2021). A Functional BCI Model by the P2731 Working Group: Transducer. Brain-Computer Interfaces.

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2019

Ordonez, J., Sahonero-Alvarez, G. (2019). A 3D Convolution Accelerator Implemented on FPGA Using SDSoC. 2019 7th International Engineering, Sciences and Technology Conference (IESTEC).

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2018

Gutierrez, C., Sahonero-Alvarez, G. (2018). BLDC Motor Controller Response to PWM Compensation. .

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2017

Sahonero-Alvarez, G., Calderon, H. (2017). A Comparison of SOBI, FastICA, JADE and Infomax Algorithms. Proceedings of the 8th International Multi-Conference on Complexity, Informatics and Cybernetics.

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2021

Zapała, D., Hossaini, A., Kianpour, M., Sahonero-Alvarez, G., Ayesh, A. (2021). A functional BCI model by the P2731 working group: psychology. Brain-Computer Interfaces.

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Blog & Notes

Informal guides, code snippets, and thoughts on open science.

  • May 30, 2026 — Test

Selected Teaching & Contributions

Teaching Assistant at UC Chile

  • Biomedical Engineering Laboratory
    • An introductory course that covers biomedical imaging, temporal biosignals, and biology microscopy.
  • Deep Learning
    • A practical course covering deep learning fundamentals, architectures, and applications.
  • Advanced Signal Processing
    • A course focused on 2D signal processing techniques including stochastic modeling and Fourier analysis.
  • Mathematical Methods for Biomedical Engineering
    • A course covering mathematical tools for biomedical engineering, including linear algebra, optimization, and numerical methods.
  • Magnetic Resonance Imaging Laboratory
    • A hands-on course covering MRI physics, pulse sequence design, and image reconstruction.
  • Introduction to Biomedical Engineering
    • An introductory course covering the fundamentals of biomedical engineering, including biomaterials, biomechanics, and medical imaging.

iHEALTH Winter/Summer School

  • 2025 & 2026: "Practical workshop: an Introduction to AI"
    • A practical workshop covering Multilayer Perceptron and Convolutional Neural Networks traning and usage with Colab Notebooks.

Graduate Courses at UCB

  • Advanced Topics in Deep Learning
    • A course covering advanced topics in deep learning, including generative models, reinforcement learning,self-supervised learning, and optimization techniques.
  • Biomedical design
    • A course focused on the design and development of biomedical devices, covering topics such as biomaterials, biomechanics, and regulatory considerations.
  • Introduction to Deep Learning
    • A course covering the motivation and fundamentals of deep learning such as deep learning training frameworks and typical pipelines.
  • Biomaterials
    • A course covering the properties, applications, and design of biomaterials used in medical devices and tissue engineering.
  • Neural networks
    • A course covering neural network architectures (MLP, CNN, RNN) and their applications (medical, data science, robotics).

Connect

Feel free to reach out for collaborations, questions, or just a chat about science, code, or anything in between.

Academic & Code

Social & Creative

Follow me for updates on my research, side projects, and hobbies.