Experience


Research Internship

5 months
Apr. 2024 - present

I am currently doing a five-month internship at the Institute of Neuroinformatics in Zurich as an ETH Zurich student. My research focuses on artificial neurogenesis in the context of hardware-constrained continual learning. Specifically, my team previously developed a neuromorphic hardware chip called MOSAIC for in-memory computing. I am now investigating the development of a neurogenesis approach to continual learning, which we plan to implement on our MOSAIC chip.

[GitHub]


Research Internship

3 months
May 2023 - Jul 2023

The goal of this research internship was to delve deeper into research project below.

I conducted an in-depth investigation of Domain Adversarial Neural Networks, including a comparative review of various architectures and the refinement of the most relevant one to deal with highly imbalanced High Energy Physics datasets. More precisely, I embedded the domain information of each sample into the input space, which enabled the model greater flexibility in building the decision boundary.

[Paper] [GitHub]


Research Project

6 months
Oct. 2022 - Mar. 2023

The Fair Universe project primarily aims at mitigating systematic uncertainty in High Energy Physics through the elaboration of machine learning challenges.

I have been involved in this project part-time for a preliminary exploration of baselines to tackle systematic uncertainty. Additionnaly, I have been leading a team of 4 in the conception of a machine learning challenge which has been solved by students from a class of 20.

[Paper] [GitHub] [Website]