Lambda Science

Corentin MEYER – 28 years old @ Strasbourg France
Mail: contact@cmeyer.fr

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

Software Engineer – Phagos @ Paris, France
October 2025 to Present

  • Data Team: Support our labs research development and production by providing tools and dashboard linked to their experiments.

AI Engineer – Alcatel-Lucent Enterprise @ Illkirch, France
Nov 2023 to Oct 2025

  • 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

[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