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title Alberto Di Biase
nocite @*

::: description MSc. Electrical Engineering & Ph.D. student at Imperial College London

asdibiase@uc.cl | +56 9 7758 1497 | +44 7777 625590

::: blur Ph.D. student at Imperial College London working in cardiac diffusion tensor imaging (cDTI). I have experience working on deep learning research to accelerate and improve MRI. :::

:::

::: sidebar

Education

  • September 2025 - Current student Ph.D. Imperial College London

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

  • November 2022 Electrical Engineering. Pontificia Universidad Católica de Chile

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

Skills

Software

  • MatLab
  • Python
  • JavaScript
  • C/C++ (basic)
  • Keras + Tensorflow
  • Pytorch
  • Wolfram Mathematica
  • Office

Languages

  • Spanish (native)
  • English (advance)
  • German (learning)

Links

Github https://github.com/tito21

Blog https://tito21.github.io

This work is licensed under CC BY 4.0

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::: main

Work History

::: work-history Research Experience

  • 2024 - present Ph. D Student & 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

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

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Publications and Conference presentations

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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.

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