[6] Chion M. & Leroy A. (2023). A Bayesian Framework for Multivariate Differential Analysis accounting for Missing Data. arXiv:2307.08975.

[5] Chion M., Carapito C. & Bertrand F. (2022). Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics. PLOS Computational Biology. 18(8): e1010420.

[4] Bons J., Husson G., Chion M., Bonnet M., Maumy‐Bertrand M., Delalande F., Cianférani S., Bertrand F., Picard B. & Carapito C. (2021). Combining label‐free and label‐based accurate quantifications with SWATH‐MS: comparison with SRM and PRM for the evaluation of bovine muscle type effects. Proteomics. 21:e2000214.

[3] Muller L., Fornecker L., Chion M., Van Dorsselaer A., Cianférani S., Rabilloud T. & Carapito C. (2018). Extended investigation of tube-gel sample preparation: a versatile and simple choice for high throughput quantitative proteomics. Scientific Reports. 8:8260.

[2] Chion M., Carapito C. & Bertrand F. (2023). Towards a more accurate differential analysis of multiple imputed proteomics data with mi4limma. In: Burger, T. (eds) Statistical Analysis of Proteomic Data: Methods and Tools. Vol. 2426, Methods in Molecular Biology, Humana Press, New York, NY.

[1] Quibel L., Helluy P., Chion M. & Ricka P. (2019). Mélanger des gaz raides pour créer de nouvelles lois d’état. hal-02114552.

ProteoBayes: Bayesian Statistical Tools for Quantitative Proteomics
Webpage | GitHub | R package | Web app

mi4p: Multiple Imputation for Proteomics
Webpage | GitHub | R package

Oyebolu F., Chion M., Wemelsfelder M. et al.: Optimisation of extended antigen matching for transfusion dependent sickle cell patients. 34th Regional ISBT Congress – November 18-21, 2023 – Cape Town, South Africa.

Chion M. & Leroy A. ProteoBayes: a Bayesian framework for differential proteomics analysis. BSPR-EuPA Conference – July 17-20, 2023 – Newcastle-upon-Tyne, UK.

Chion M., Bons J., Bonnet M., Maumy-Bertrand M., Carapito C. & Bertrand F.: Modèle de régression par spline monotone pour données de protéomique quantitative. 52e Journées de Statistique – June 7-11, 2021 – Online.

Chion M., Bons J., Bonnet M., Maumy-Bertrand M., Carapito, C. & Bertrand F.: Using monotone spline smoothing to combine label-free and label-based accurate quantifications with DIA-MS: application to bovine muscle samples. e-Chimiométrie 2021 – February 2-3, 2021 – Online.

Chion M., Carapito C. & Bertrand F.: Dealing with imputation-caused variance using moderated t-test. UseR! 2020 – Cancelled due to COVID-19.

Chion M., Carapito C. & Bertrand F.: Imputation multiple et prise en compte de l'incertitude pour les données de protéomique quantitative. 51e Journées de Statistique – June 3-7, 2019 – Nancy, France.

• A Bayesian Framework for Multivariate Differential Analysis accounting for Missing Data. Journées Statistiques du Sud - June 19-21, 2024 - Toulouse, France.
• Getting involved in the scientific community as an early career researcher. 3rd EuPA ECR Day – October 5, 2023 – Online.
• Enseigner la statistique aux non-spécialistes: retour d'expérience en sciences de la vie et en psychologie. 54e Journées de Statistique – July 3-7, 2023 – Brussels, Belgium.
• Missing values and multiple imputation: application to quantitative proteomics. Applied Statistics Workshop - November 4, 2022 - UCLouvain, Belgium.
• From multiple imputation to Bayesian framework in quantitative proteomics. Journée Statistique et Sciences de la Santé – June 26, 2022 – Lille, France.

• Séminaire DATA - May 23, 2024, Grenoble, FR
• Séminaire MIA Paris Saclay - May 16, 2024 - Palaiseau, FR
• Blood Donor Health Department Meeting - April 4, 2024 - Amsterdam, NL
• Lilley Lab Seminar – July 27, 2023 – Cambridge, UK
• BSU Together - November 29, 2023 - Cambridge, UK
• MAP5 Statistics team seminar – May 13, 2022 – Paris, FR
• LMRS Working group in Statistics – March 24, 2022 – Rouen, FR
• Heudyasic Lab seminar – March 8, 2022 – Compiègne, FR
• LabEx IRMIA Day – October 1, 2020 – Strasbourg, FR
• MSII Doctoral School Back-to-School Day – October 8, 2019 – Strasbourg, FR

Chion M., Oyebolu F. & Astle W.: Bayesian modelling of alloimmunisation in red blood cell transfusions. International Society for Bayesian Analysis Annual Meeting – July 1-7, 2024 – Venice, Italy.

Trompeter S., Rodrigues Cavalcante A., Chion M. et al.: The pattern of red cell antibodies in a large population of people with sickle cell disease and thalassaemia. 65th American Society of Haematology Annual Meeting & Exposition – December 9-12,2023 – San Diego, CA, USA.

Chion M., Carapito C. & Bertrand F.: Dealing with imputation-caused variance in label-free quantitative proteomics data. May Institute on Computation and statistics for mass spectrometry and proteomics at Northeastern University – April 27 - May 8, 2020 – Boston, MA, USA.

Chion M., Carapito C. & Bertrand F.: Imputation multiple et prise en compte de l'incertitude pour les données de protéomique quantitative. Journées Statistique & Santé – October 10-11, 2019 – Paris, France.

Chion M., Muller L., Pythoud N., Bertrand F. & Carapito C.: Dealing with imputation-caused variance in label-free quantitative proteomics data. SMAP 2019 – September 16-19, 2019 – Strasbourg, France.

Chion M., Carapito C. & Bertrand F.: Imputation multiple et prise en compte de l'incertitude pour les données de protéomique quantitative. 1er Symposium du Groupement de Recherche MaDICS – June 26-28, 2019 – Rennes, France.