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Alberto Di Biase

MSc. Electrical Engineering | ✉️asdibiase@uc.cl | 📞️+56 9 7758 1497

Master in Electrical Engineer with an focus in magnetic resonance imaging (MRI) and medical imaging. I have experience working on deep learning research to accelerate and improve MRI. Currently I work as a research assitant at Imperial College London.

Education 🎓️

  • June 2020 Bs in Biomedical Engineering. Pontificia Universidad Católica de Chile

  • November 2022 Electrical Engineering. Pontificia Universidad Católica de Chile

  • November 2022 Master in Engineering Science. Pontificia Universidad Católica de Chile. Thesis: Intensity-based Deep Learning for SPION concentration estimation in MR imaging

Skills

  • Software ⌨️
    • MatLab
    • Python
    • JavaScript
    • C/C++ (basic)
    • Keras + Tensorflow
    • Pytorch
    • Wolfram Mathematica
    • Office
  • Languages 🗣️
    • Spanish (native)
    • English (advance)
    • German (learning)

Links 🔗️

Work History

  • Research Experience
    • 2024 - present 🌐️ Research Assistant, Imperial College London. Department of Computing / Visual Information Processing
      • Supervisor: Sonia Nielles-Vallespin Ph. D & Daniel Rueckert Ph. D
      • Diffusion cardiac imaging.
    • 2022 - 2024 🌐️ Research Engineer, iHealth Millennium Institute for Intelligent Healthcare Engineer
      • Supervisor: Claudia Prieto Ph. D
      • Reconstruction of parametric maps from undersample MRI using physics informed neural networks.
    • Summer 2020 🌐️ Tokio, Japan, Sekino Lab, University of Tokyo
      • Supervisor: Masaki Sekino Ph. D
      • Acquisition and simulation of MR imaging to quantify SPIO concentrations in tissue using deep learning.
    • 2019 🌐️ Biomedical Imaging Center PUC
      • Supervisor: Pablo Irrarazaval, Ph. D
      • Application of deep learning to improve undersampled MRI.
      • Participation in the fastMRI challenge https://fastmri.org.
    • Spring 2018 🌐️ Biomedical Imaging Center PUC
      • Supervisor: Sergio Uribe, Ph. D
      • Liver segmentation from MRI using deep learning.
  • Internships
    • Summer 2021 🌐️ Santiago, European Southern Observatory (ESO)
      • Supervisor: Fernando Selman Ph. D
      • Develop a deep learning system to identify anomalies in calibration frames.
  • Teacher Assistance 👨‍🏫️
    • Spring 2021, Biomedical imaging
    • Fall 2021, Introduction to Biomedical Engineer, Signal and Systems
    • Fall 2019 and Spring 2020, Image processing fundamentals
    • Fall 2018, Calculus III Lab

Publications and Conference presentations

  • Di Biase A., Schneider A., Botnar R. & Pietro C. Model-based Deep Image Prior Reconstruction for iNAV-based 3D whole-heart T2 mapping. Society for MR Angiography 36th Annual International Meeting. Santiago Chile, November 2024

  • Di Biase A., Schneider A., Botnar R. & Pietro C. Model based rEconstruction by Deep Algorithm unrolLing (MEDAL) for fast 3D whole-heart T2mapping 2024 ISMRM & ISMRT Annual Meeting & Exhibition. Singapore, May 2024.

  • Di Biase A., Liu S., Sekino M., & Irarrázabal P. Intensity-based Deep Learning for SPION concentration estimation in MR imaging, 2023 ISMRM & ISMRT Annual Meeting & Exhibition. Toronto Canada, June 2023.

  • Di Biase A., Botnar R. & Prieto C. Finding Optimal Regularization Parameter for Undersampled Reconstruction using Bayesian Optimization, 2023 ISMRM & ISMRT Annual Meeting & Exhibition. Toronto Canada, June 2023.

  • della Maggiora, G., Di Biase, A., Castillo-Passi, C., & Irarrazaval, P. Attention Based Scale Recurrent Network for Under-Sampled MRI Reconstruction. 2020 ISMRM & ISMRT Annual Meeting & Exhibition. Virtual, August 2020.

Extracurricular activities

  • Browser Extension UCaccess, Developer
  • Robotics, Coach and Tutor 🤖️
    • 2016 - 2017 One week workshop for 12-13 year old kids. Each kid could build and program their own mobile robot using the Arduino platform. I have also taught a similar workshop using the LEGO Mindstorm platform.
    • 2015 - 2016 Coach of a FIST LEGO League (FLL) team. The FLL challenge is an international robotics competition where each team has to develop a robot that solves a number of tasks and do a scientific investigation. In 2015 the team won the “Values” national prize.
  • Teleton Foundation, Voluntary work
    • Summer 2018, Santiago
    • Help on the voluntaries’ office.
    • Help organize summer event.