Resume

Experience

Oct 2024 - now : PHD Student - CREATIS

Subject : Deep learning methods for improved quantification of SPECT imaging in Lu-177 therapy 

2024 : IA & ML research internship - Bioaster

• Characterisation of antimicrobial mechanisms of action using Ramanspectroscopy data.
• Exploration of various data augmentation methods for RS data.
• Implementation of classification model (1dCNN) & novelty detection model (OC-SVM, Autoencoder)

2022-2023 : IA & ML engineer internship - ESKER

Education and Degrees

Oct 2024 - now : PHD Student in Signal Processing & Deep Learning - INSA Lyon

Subject : Deep learning methods for improved quantification of SPECT imaging in Lu-177 therapy 

2021 - 2024 : Engineering degree (MSc) in Applied Mathematics - Polytech Lyon

Courses including :

• Artificial Intelligence, Statistics, Algorithms, Statistical modeling, Optimization.
• Numerical Analysis, FEM, FMV, Non-stationary problem

2023 - 2024 : Erasmus program - Eötvos Lorand University 

Courses including :

• Data Mining and Machine Learning, Applied Deep Learning (LSTM, Transformers, RNN)
• Analysis of Times Series, Dynamical systems, Financial IT Systems