About Maeva
Ce que je peux vous apporter
- Modèles ML / deep learning (prédiction, classification)
- Modèles génératifs (embeddings, diffusion, design de séquences)
- Analyse de données complexes (biologiques, cliniques, multi-sources)
- Pipelines data / ML reproductibles
- Développement rapide de prototypes et d’applications (Streamlit, APIs)
Ma valeur ajoutée
Types de missions
- Développement de pipelines ML end-to-end
- Développement rapide de prototypes pour tester une approche IA
- Analyse bioinformatique (NGS, single-cell, RNA-seq)
- Outils internes et web apps
French
Native or bilingual
English
Native or bilingual
Experience
- Soufflé TherapeuticsDirector of Data Science and BioinformaticsBIOTECHJanuary 2024 - Today (2 years and 7 months)Watertown, MA, USA• • Development of an internal platform for in silico generation of antibody and VHH sequences to accelerate the creation time of a ligand and offer a parallel path to traditional immunization campaigns: selection of protein structure prediction models and generative diffusion models, evaluation of selection metrics, experimental validation of predictions.• • Design, training, and deployment of machine learning models to predict siRNA knock-down efficiency from RNA sequence embeddings and biochemical features, reducing the number of candidates to be experimentally tested by 30%.• • Implementation of a data infrastructure ensuring the quality, traceability, and reusability of experimental data (FAIR principles) combining databases, Databricks pipelines, and ELN.• • Preparation of the data ecosystem for the transition to a clinical regulatory framework (GxP), in collaboration with Quality teams.
- 2seventy bioSenior Data ScientistBIOTECHSeptember 2021 - December 2023 (2 years and 3 months)Cambridge, MA, USA• • Development of machine learning models integrating clinical, CyTOF, NGS, and CMC data to identify factors associated with clinical safety and efficacy in CAR-T trials.• • Development of reproducible bioinformatics pipelines for scRNA-seq, bulk RNA-seq, and off-target effect identification of CAR-T therapies.• • Development of an automated and generalizable CyTOF analysis pipeline, reducing analysis time from several weeks to a few hours and enabling its use as a clinical trial (R, Nextflow, AWS Batch & Step Functions).• • Close collaboration with biostatistics and medical writing teams for result interpretation, preparation of abstracts, and scientific publications.• • Contribution to structuring analytical and reproducibility best practices in a regulated context.
- bluebird bioData ScientistBIOTECHJuly 2020 - August 2021 (1 year and 1 month)Cambridge, MA, USA• • Development of single-cell analysis pipelines for the characterization of therapeutic products, including ATAC-seq and RNA-seq.• • Identification of cell populations, clusters, and biological markers of interest for optimizing gene and cell therapy products.• • Implementation of reproducible workflows for NGS data analysis in close collaboration with experimental teams.
Recommendations
Be the first to recommend Maeva
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Doctorate (PhD)Stanford University2019Doctorat (PhD)
- Master of ScienceStanford University2012Master of Science