Biography
💼 I’m currently working on Natural Language Processing (NLP) and Computer Vision (CV) tasks applied to the Healthcare industry at the Avignon University CS Research Lab (Laboratoire Informatique d’Avignon - LIA, France). I also spend my time as a Technology Transfer Specialist at Zenidoc.
🔬 Most of my recent research are concentrated on machine learning methods and more specially on unstructured data mining to solve healthcare related problems.
🔠During my free time, I’m currently working on a End-To-End (E2E) Computer Vision Toolkit called HugsVision to simplify iterations and provide better solutions to the end-users for many uses cases.
🌱 I’m currently learning about Deep Learning approaches using Tensorflow, Keras, PyTorch & SpeechBrain frameworks.
Spaces on HuggingFace
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Models on HuggingFace
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Datasets on HuggingFace
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Connect with me 😃
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- Artificial Intelligence
- Computational Linguistics
- Information Retrieval
- Computer Vision
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MSc in Computer Science, 2022
Avignon University
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BSc in Computer Science, 2020
Avignon University
Experience
Subjects:
- Automatic classification of medical reports by specialities
- Automatic Named Entity Recognition (NER) for medical records anonymization
- Automatic Part-of-speech tagging (POS Tagging)
- End-To-End Speech Recognition
- End-To-End Part-of-speech Recognition from Speech
- Automatic extraction of medication names in tweets
- Multi-label topic classification for COVID-19 literature annotation
- Automatic Sentiments Analysis
Fields:
- Natural Language Processing (NLP) & Healthcare
Responsibilities include:
- Collect industry partners needs and study the technical feasibility of projects
- Assistance in the technical deployment of solutions developed in academia
- Promote state-of-the-art technologies and find out new applications
- Transfer of technical knowledge to technical teams
- Supervise annotations phases for named-entity-recognition, part-of-speech tagging and documents classification
- Research strategic planning
- Technological intelligence
- Manage in-house technological benchmarking comparison
