**Corentin MEYER** – 28 years old @ Strasbourg France **Mail:** [[email protected]](mailto:[email protected]) ### INTRO Leveraging my multidisciplinary profile with dual expertise in biomedical and computer science (and AI) fields (PhD level), I have a very versatile profile. I love engineering, problem solving, communicating, science popularization and teaching as well as creating demos for tools. ### EDUCATION ==**PhD in Biomedical AI**== – University of Strasbourg – 2023 **Master’s degree in biotechnologies** – GPA 4.0 – _ESBS_ Strasbourg – 2020 **Bachelor’s degree in life-science** – GPA 4.0 – _University of Strasbourg_ – 2018 ### WORK EXPERIENCE ==**AI Engineer**== – _Alcatel-Lucent Enterprise_ @ Illkirch, France _Nov 2023 to Present_ * **Generative AI**: Lead the development from scratch to production of a Generative AI Engine solution (API and Web Application) for company documentation on AWS (1M+ pages of documents, 500+ users). * **Data engineering**: Contributing to the development of our custom ETL engine. * **Machine-Learning**: Development and maintenance of traditional AI models for sales and operations. ==**AI/ML Researcher (PhD)**== – _CSTB @ ICube CNRS_ @ Strasbourg, France _Oct 2020 – Oct 2023_ * **Research project:** Methods for the exploitation of multimodal patient data using artificial intelligence: application to congenital myopathies. * **Developments**: Open-source AI tools to quantify histological images (_MyoQuant_), index and process unstructured medical reports (_NLMyo_) and predict diagnosis using explainable AI (_IMPatienT_) * ==**Teaching Assistant**:== Bioinformatics, AI and ML teaching to Master and Pharmacy students, 2021-2023 **==Bioinformatics Scientist (internship)==** – _Julie D. Thompson ICube CNRS_ @ Illkirch, France _Jan 2023 – July 2023_ * Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes (multi-level analysis: protein, transcript, genome) ### SKILLS & EXTRA * **Programming Languages:** Python, SQL, Bash, R, HTML/CSS * **AI/ML:** Image Deep Learning (Tensorflow/Keras), Natural Language Processing (NLP, Spacy), large language models (LLMs, Haystack, Qdrant), machine-learning models (Sci-kit), explainable AI (xAI) * **Other Libraries:**, FastAPI, Streamlit, PostGre, SQLAlchemy, Pandas, CLI, Snakemake, HuggingFace, W&B * **Open-Source contributions:** _Haystack_ (Deepset), _Docling_ (IBM), _HuggingFace data & models_ (MyoQuant) * **DevOps Tools:** Git, Docker, PyCharm**,** CI/CD, AWS (ECS, RDS, Bedrock, CloudWatch…), Sentry * **Biotechnologies:** Sequencing NGS data (RNA-Seq, ChIP-Seq), histology imaging data, biomedical ontologies, rare genetic disease research. Bioinformatics tools and databases (BLAST, MAFFT, NCBI, Uniprot, Ensembl…) * **Natural Languages:** French (Native), English (C1), German (A2), Russian (A1) * **Winner Mature Your PhD Contest,** _Satt Connectus, 2023_ ### PUBLICATIONS [1] Meyer, C. et al. (2020). Understanding the causes of errors in eukaryotic protein-coding gene prediction: A case study of primate proteomes. BMC Bioinformatics, 21(1), 513. [https://doi.org/10.1186/s12859-020-03855-1](https://doi.org/10.1186/s12859-020-03855-1) [2] Meyer, C. et al. (2024). IMPat. enT: An Integrated Web Application to Digitize, Process and Explore Multimodal PATIENt daTa. Journal of Neuromuscular Diseases. [https://doi.org/10.3233/JND-230085](https://doi.org/10.3233/JND-230085)