Philippe RAMBAUD
PhD Candidate | Research Scientist in Computer Vision & Deep Learning | Healthcare AI
Salaire / Taux journalier
Paris, France
Freelance
Peut venir sur site
Expertises
À propos
Introduction
I specialize in developing AI systems at the intersection of computer vision, time series analysis and healthcare. Currently completing a PhD in collaboration with LISN, AP-HP, and Sogeti, I focus on deep learning methods for neonatal pathology detection through spontaneous movement analysis from video data. My work combines advanced computer vision techniques with clinical expertise to build interpretable, robust models for early diagnosis. Beyond research, I lead technical teams in developing tools and pipelines for clinical data collection, annotation, and research data management. I'm passionate about creating AI solutions that are scientifically grounded, clinically validated, and designed for real-world impact. I also actively contribute to the Observatoire de l'Intelligence Artificielle (OIA), a think tank dedicated to advancing responsible AI development and fostering informed dialogue around AI's societal implications.
Expérience de travail
Sogeti
nov. 2021 - Présent
5 ans
92130 Issy-les-Moulineaux, France
PhD Candidate in Computer Science
sept. 2022 - Présent
4 ans 2 mois
92130 Issy-les-Moulineaux, France
PhD under a CIFRE contract in collaboration with LISN and AP-HP. Thesis: “Infant Pose Analysis based on Spontaneous Motricity” Advisor: Joanna Tomasik (GALaC team, LISN). Focused on AI-driven neonatal pathology detection using computer vision and deep learning. Led a team of 20 engineers in developing software solutions for clinical data acquisition, annotation and management. Tech stack: Python, TF, PyTorch, Scikit-Learn, OpenCV, Pandas, Numpy, Matplotlib, Jupyter, CVAT, Docker, Git, GCP, React, Node.js, MongoDB
AI Engineer
nov. 2021 - août 2022
10 mois
Conducted comprehensive state-of-the-art review of computer vision and deep learning approaches for medical image analysis. Designed and implemented technical infrastructure for clinical data collection pipelines in collaboration with AP-HP medical teams. Established foundational methodologies and proof-of-concept workflows to define project scope and validate research feasibility.
Teaching Assistant
CentraleSupélec
sept. 2023 - déc. 2023
4 mois
Gif-sur-Yvette, France
1st year engineering school. Courses: Python, database, network, IT architecture, cybersecurity & object-oriented programming.
AI Engineer
Sogeti
févr. 2021 - août 2021
7 mois
92130 Issy-les-Moulineaux, France
Implementation of a Brain-Computer Interface (BCI). Learning specific signal processing methods for EEG waves. Developing Deep Learning algorithms for the classification of human thoughts. Technological monitoring.
Product Automation
Agendize
avr. 2020 - août 2020
5 mois
10000 Troyes, France
Marketing automation. API testing and automation. Dashboard for strategic decisions. Customer Support.
Vice président
Club Alma
avr. 2019 - mai 2020
1 an 2 mois
Région de Paris, France
Organization of debates and conferences.
Security policy
Agendize
juil. 2019 - août 2019
2 mois
Région de Troyes, France
Establishment of the ISSP (Information System Security Policy). ISO standards set up. Customer Support
Logistics Manager
BDE Lutèce
mars 2018 - mars 2019
1 an 1 mois
Région de Paris, France
Organization of associative events on a 1500-student campus. Preparation and planning of these events in collaboration with the events team, whether on-campus or off-campus.
Association Manager
BDE Sparks
mars 2017 - mars 2018
1 an 1 mois
Région de Paris, France
Project Manager
JEECE
sept. 2016 - juil. 2017
11 mois
Région de Paris, France
Prospecting new clients. Monitoring and implementation of projects
Formation
Université Paris-Saclay
Doctor of Philosophy - PhD, Computer Science
2022 - 2025
3 ans 2 mois
ED Sciences et Technologies de l'Information et de la Communication (STIC) Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) Publications (first author): - Binary classification vs. anomaly detection on imbalanced tabular medical datasets (CSCE'23) Publications (others): - Improve pose estimation model performance with unlabeled data (CSCE'23)
ECE. Ecole d'ingénieurs. Engineering School.
Master's degree, Big Data & Analytics
2019 - 2021
3 ans
University of Ruse
Licence, IT
2019 - 2019
1 an
ECE. Ecole d'ingénieurs. Engineering School.
Bachelor's degree, Ingénierie informatique
2016 - 2019
4 ans
Licences et certifications
CoderQuest Season 0: Welcome to Liskov
Délivré le : oct. 2023
AI for Medical Diagnosis
Délivré le : mars 2021
Convolutional Neural Networks
Délivré le : févr. 2021
Communiquer avec Impact
Délivré le : janv. 2021