Information
📚 Organization | ESA Φ-lab |
📆 Period @ ESA Φ-lab | May 2023 - April 2026 |
🌍 Project @ ESA CIN | AI4EO and PINNs4EO |
📍 GitHub | |
🔨 Linkedin | |
📝 Publications |
Bio
I am a post-doctoral researcher in computer vision and would describe myself as a “deep learner”. My interests are the development of statistical, machine learning and deep learning models for real-world applications. I am particularly interested in modelling complex, low-sampled and high-dimensional data. My past research has led to applying traditional and modern image analysis to large 2D images (>60GB when uncompressed), 3D imaging, video and LiDAR data. Using my research for these goal-oriented projects and tackling inherent difficulties in the data has led me to build a keen interest in transfer learning and learning from imperfect and noisy data, including weakly supervised and self-supervised learning.
I have a background in theoretical statistics and computer science. I completed my PhD in Bio-informatics in 2019 from Mines ParisTech. I completed my first post-doctoral research program in the High-Dimensional Statistical Modelling Team at Kyoto University.