Education

• ENS Paris-Saclay, Master MVA (Mathematics, Vision, Learning) – Paris, France, 2021-2022
  • Relevant Coursework: Geometry and statistical learning, Geometry of shape spaces, Convex optimization, Computational statistics, Kernel methods, Optimal transport, Advanced medical image analysis, Functional brain imaging, Sub-pixel image processing.
• Mines Paris - PSL, Master in Science & Executive Engineering – Paris , France, 2018-2022
  • Major: Digital Engineering of Complex Systems (Physics & AI)
  • Relevant Coursework: Machine learning, Computer science, Statistics, Optimization, Probability theory, Differential and Integral calculus, Distribution theory, Stochastic process.
• Lycée Saint-Louis, Preparatory Classes for top French engineering schools – Paris, France, 2016-2018
  • MP*/MPSI (Mathematics & Computer Science). Ranking: 120/8916.
• Scientific Baccalaureate – Paris, France, 2016
  • Participation in the Concours Général in Mathematics and Physics.

Professional experience

• Inria, Research Intern in Geometric Statistics – Sophia Antipolis, France, 2022 (6 months)
  • Rethinking Principal Component Analysis with flag manifolds.
  • Lab: Epione – Head: Nicholas Ayache – Supervisor: Xavier Pennec
    • Geometry & Optimization: development of a Riemannian optimization framework on flag manifolds
    • Code: implementation in geomstats, an open-source Python package for geometric statistics
    • Results: successful generalization of PCA as a flag optimization
• Technion - Israel Institute of Technology, Deep Learning Research Intern – Haifa, Israel, 2021 (6 months)
  • Atrial Fibrillation diagnosis on long-term ECG recordings
  • Lab: AIMLab – Head: Joachim Behar – Supervisors: Joachim Behar, Shany Biton
    • Deep Learning: implementation of cutting-edge time-series classification models
    • Data Augmentation: development of a physiologically-inspired deep conditional autoencoder
• Acoustic Wells, Machine Learning R&D Intern – Boston, MA, USA, 2020-2021 (6 months)
  • Machine Learning-based estimation of methane emissions in oil wells
    • Signal Processing: sensor fusion, filtering
    • Machine Learning: feature extraction, non-linear regression, prediction interval
    • Active Learning: development of an original method, design of a labeling tool
• INMED & CENTURI, Image Processing Research Intern – Marseille, France, 2020 (3 months)
  • Morphological and functional analysis of calcium imaging neuron sequences
  • Lab: Cossart Lab – Head: Rosa Cossart – Supervisors: Julien Denis, Robin Dard
    • Image Processing: neuronal video denoising, adaptive thresholding, skeletonization
    • Signal Processing: neuronal activity analysis using spike detection, signal correlation, skewness
    • Unsupervised Learning: neuronal activity dimensionality reduction, clustering and factorization
• Institut Pasteur, Image Processing Research Intern – Paris, France, 2019-2020 (6 months)
  • Segmentation of dendritic spines using mathematical morphology
  • Lab: Biological Image Analysis – Head: Jean-Christophe Olivo-Marin – Supervisor: Suvadip Mukherjee
    • Mathematical Morphology: skeletonization, pruning, watershed

Projects

• Mines Paris - PSL, Mechatronics project in collaboration with an art PhD – Paris, France, 2019-2020 (9 months)
  • Design & Realization of a weaving robot for tailor-made clothes
    • Leadership: head of software team, internal & external communication
    • Image Processing: pattern scanning, needle positioning
• Mines Paris - PSL, Computer Science Project – Paris, France, 2019 (2 months)
  • Automation of the painting technique of Pointillism
    • Image Processing (Java)
• Mines Paris - PSL, Computer Vision project in collaboration with the startup Nam.R – Sophia Antipolis , France, 2018 (1 month)
  • Urban analysis via geospatial computer vision
    • Image Processing: segmentation and analysis of green spaces
    • Deep Learning: urban object detection

Skills

• Languages: French (mother tongue), English (professional proficiency), Spanish (conversational)
• Computer Science: Python, Java, Matlab, Git, LaTeX
• Python Libraries: Tensorflow, scikit-learn, OpenCV, scikit-image, scipy, numpy, pandas
• Machine Learning: Deep Learning Specialization (deeplearning.ai), Machine Learning (Stanford University)

Nonprofit activities

• Mines Paris - PSL, Student Union – Paris, France, 2019-2020 (1 year)
  • Head of external relations. VP Paris Sciences & Lettres. VP eligible candidates.
  • Weekly voluntary tutor for underprivileged excellent students.

Interests

• Sport: Track & Field, Climbing, Surf.
• Music: Piano (18 years), Composition of electronic music, Improvisation in Jam sessions.