Louis-Alexandre Leger

09.09.2024

Following a rich learning experience at the Naef Lab, I developped a regression model that integrates sequential cellular brightfield images and predicts the cell cycle phase from the FUCCI system. This led to a paid summer internship, where we explored the limits of this model. As I resume my education, I will stay in close contact with the lab and this project, with the goal of a publication.

This fall, I will be starting an exciting 6-month internship at Metadvice. A start-up where I will be tasked to implement new clinical decision support models. The main focus will be comorbid situations and investigating model explainability with Shapley values. I am glad to be returning to tabular machine learning and hope to contribute some ideas like KAN-interpretability. I will also be starting a shorter semester project with Ilaria Ricchi, benchmarking novel implementations of graph mixture models, where I hope to learn more graph theory and connectome analysis.

I am glad to be applying my skills in a fitting field and hope to continue in search of a master's thesis for the spring of 2025.

06.02.2024

I'm a 2nd year master's student at EPFL studying Neuro-engineering and I'm currently looking for an internship to finish my studies.

In the spring of 2024, I will be joining the Naef Lab of computational biology as a master's student to investigate latent space models for cell cycle trajectories with live imaging data. My goal will be to implement self-supervised learning techniques and explore the utility of "nested" vision transformers to make use of the 3rd dimension.

This website catalogues my neuroscience, data analysis and machine learning projects. My objective is to use my computer science skills to aid the medical engineering revolution, leveraging deep learning tools to solve large quantitative biological tasks.