Learning by observing
These examples demonstrate how outstanding leadership can positively impact the productivity and well-being of a research group.
Hi, I'm Francisco Correia Marques.
I am a Doctoral student at Laboratory for Bone Biomechanics, ETH Zürich.
My research interests include Image analysis, Data science and Machine Learning and their applications to unravel bone mechanobiology.
What I Do
Here are a few topics I work on
micro Finite Element Analysis
Run sample-specific simulations to estimate the mechanical signal in 3D bone structures derived from in vivo micro Computed Tomography images.
Image Analysis
Develop scalable automated pipelines to analyse large amounts of histology and in vivo micro Computed Tomography images and extract quantitative relationships with biological relevance.
Bioinformatics
Establish computational pipelines to analyse single-cell protein and gene expression profiles extracted from animal samples.
in silico Modelling of Bone Adaptation
Run sample-specific remodelling simulations to investigate bone adaptation at the tissue level using a validated in silico model based on surface advection.
Latest from the Blog
Collection of thoughts and reflections
The importance of unit testing in Python software development
Developing unit tests alongside code development forces an active dialogue between two complementary perspectives.
Maximizing the benefits of AI-enhanced tools
These models provide friendly and insightful answers that have supported me in writing clean, efficient code.