Skip to content
View LeoBertini's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report LeoBertini

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
LeoBertini/README.md

Hi there! I'm Leo Bertini 🧑🏻‍💻🌊🪸🩻

  • I'm a marine scientist and coding enthusiast with a strong interest in tech, data science and science communication.
  • Currently shooting very powerful X-rays at coral skeletons and developing advanced 3D image processing pipelines coupled with AI to study historical coral growth in understudied areas of SE Asia.
  • I am now an early stage researcher at the London Natural History Museum and PhD candidate at the University of Bristol (UK).
  • I have a joint MSc in Marine Biological Resources and Global Ocean Change from the University of Bergen (Norway) and the University of Ghent (Belgium).
  • I also have a BSc in Oceanography from the University of São Paulo (Brazil).
  • In my free time, I can be found underwater, at the gym or amidst nature and reading on topics like technology, carbon storage, renewable energy, and the blue economy.

Languages

Python JavaScript R C++ PowerShell MATLAB

Libraries and Technologies

Matplotlib Pandas NumPy scikit-learn SciPy
OpenCV PyTorch Keras LaTeX MySQL

Contact me via email or LinkedIn.

Pinned Loading

  1. Coral_microCT_Sclerochronology Coral_microCT_Sclerochronology Public

    Forked from LeoBertiniNHM/Coral_microCT_Sclerochronology

    Python

  2. DeepC DeepC Public

    Forked from ainsleyrutterford/DeepC

    CNN architectures capable of extracting the annual density banding present in coral skeletons

    Python

  3. PoritesGrowthBaselines PoritesGrowthBaselines Public

    Forked from LeoBertiniNHM/PoritesGrowthBaselines

    R

  4. ThesisChapter5 ThesisChapter5 Public

    Forked from LeoBertiniNHM/ThesisChapter5

    Python

  5. biomedisa biomedisa Public

    Forked from biomedisa/biomedisa

    The Biomedical Image Segmentation App is a free and open-source application for segmenting 3D images such as CT and MRI scans, developed at The Australian National University CTLab.

    HTML