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Postdoctoral Researcher

ANSES

Research on zero shot named entity recognition in the context of ANR project SafeFood4ClimDiet

• Zero-shot NER on french and english texts from multiple sources (research articles, grey literature, press articles and social media).
• Project goal :- extraction of emerging food practices related to climate change in multiple text sources

Machine Learning / NLP Engineer

SEGULA Technologies

End-of-study internship in R&D team.

• Using machine learning and NLP to find recurrent problems in customer service data (vehicles malfunction, text messages from customers).
• Implementation of NLP pipeline (preprocessing, embedding, clustering, topic modelling) to extract similar groups of problems and identify their main topics.

Machine Learning R&D Intern

Fraunhofer IPK

Gap year internship in an applied sciences research institute. Working in different teams for 2 projects.

• 1st project -> using Machine Learning / NLP / Computer Vision to extract and compare product requirements
• 2nd project -> Web development using Java + JSF for internal project management application.

Event Team

CPE Lyon Student Union (BDE)

Organizing student events : integration (organizing weekend for 500 students at a camping, travel, activities), ski week (1 week ski trip in French Alps rented rooms for all students and organized activities for the week), weekly afterworks, student parties

Tournament responsive

CPE Lyon Sport Union (BDE)

Organized a Beach volleyball tournament and barbecue party on La Doua Campus for ~150 students.

PhD

Université Paris Saclay

Natural Language Processing (NLP)

• Research on biomedical papers automatic quality assessment using NLP and data selection for pretraining biomedical language models, supervised by Patrick Paroubek and Thierry Hamon
• DLO-JZ Training : 'Deep Learning Optimisé sur Jean-Zay' or Optimized Deep Learning on Jean-Zay (CNRS Supercomputer)
• Participated to ALPS Winter School 2023, TALN 2023, ACL 2024, presented a poster at ACL
• 3 Publications : n2c2 Shared Task, BioNLP@ACL2024, Revue TAL 65.2 (french NLP journal)

MSc. ('Diplôme d'ingénieur')

CPE Lyon

Computer Science

• Specialization in Big Data and Software conception
• Gap year between July 2019 and June 2020
• Relevant Courses -> Machine Learning, Deep Learning, Big Data hackathon, Information systems architecture, Design Patterns, Mobile Development, Data Mining

Évaluation de la qualité de rapport des essais cliniques avec des larges modèles de langue [Evaluation of Clinical Trials Reporting Quality using Large Language Models]

ATALA - Revue TAL

Pre-training data selection for biomedical domain adaptation using journal impact metrics

BioNLP@ACL2024

KEEPHA at n2c2 2022: Track 1

n2c2 Shared Task