Utrecht Center for Quantitative Immunology
Laboratory Translational Immunology
University Medical Center Utrecht
I was trained in Biostatistics and Epidemiology at Bordeaux School of Public Health and graduated in Biomathematics from Paris V University (France) in 2006 and obtained my PhD in biostatistics at Bordeaux University (France) in 2009. From 2010 till 2014, I performed a postdoctoral fellowship in computational and quantitative immunology under the supervision of José Borghans in the Department of Immunology at the UMC Utrecht and collaborated with Prof. Rob de Boer in the Utrecht Center for Quantitative Immunology at Utrecht University. My research focused on quantifying cell dynamics in health and disease using mathematical modeling to analyze stable-isotope labeling experiments.
Since 2014, I am a full-time researcher within the Bioinformatics Core Facility in the Laboratory of Translational Immunology of the UMC Utrecht bringing methodological support from the design of a project to its publication. I collaborate with many groups on multidisciplinary projects that aim at closing the gap between experimental and theoretical work by using biostatistics, bioinformatics and computational approaches. Some of my most recent projects involve modeling cell homeostasis in human, defining the optimal time of maternal vaccination for RSV infection, determining endotypes of atopic dermatitis patients based on serum biomarkers measured by Luminex.
Five key publications
Reconciling longitudinal naive T-cell and TREC dynamics during HIV-1 infection. Drylewicz J, Vrisekoop N, Mugwagwa T, de Boer AB, Otto S, Hazenberg M, Miedema F, Tesselaar K, de Boer R, and Borghans J. PLoSOne 2016 11(3): e0152513. doi:10.1371/journal.pone.0152513
Quantification of Naive and Memory T-cell Turnover During HIV-1 Infection. Vrisekoop N, Drylewicz J, van Gent R*, Mugwagwa T, van Lelyveld S, Veel E, Otto S, Ruiter A/ Ackermans M, Vermeulen J, Huidekoper H, Prins J, Miedema F, de Boer R, Tesselaar K, and Borghans J. AIDS 2015, 29 (16): 2071-2080
Quantifying and Predicting the Effect of Interleukin-7 on CD4+ T cells in HIV-1 Patients: A Mathematical Analysis of Phase I/IIa Studies. Thiébaut R, Drylewicz J, Prague M, Lacabaratz C, Beq S, Jarne A, Croughs T, Sekaly RP, Lederman MM, Sereti I, Commenges D, Lévy Y. *shared first authorship. PLoS Comput Biol 2014, 10(5):e1003630. doi:10.1371/journal.pcbi.1003630.
Closing the gap between T-cell life span estimates from stable isotope-labeling studies in mice and humans. Westera L, Drylewicz J, den Braber I, Mugwagwa T, van der Maas I, Kwast L, Volman T, van de Weg-Schrijver EH, Bartha I, Spierenburg G, Gaiser K, Ackermans MT, Asquith B, de Boer RJ, Tesselaar K, Borghans JA. Blood. 2013 Sep 26;122(13):2205-12. doi: 10.1182/blood-2013-03-488411.
NIMROD: a program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations. Prague M, Commenges D, Guedj J, Drylewicz J, Thiebaut R. Comput Methods Programs Biomed. 2013 Aug;111(2):447-58. doi: 10.1016/j.cmpb.2013.04.014.
Comparison of viro-immunological marker changes between HIV-1 and HIV-2-infected patients in France. Drylewicz J, Matheron S, Lazaro E, Damond F, Bonnet F, Simon F, Dabis F, Brun-Vezinet F, Chêne G, Thiébaut R. AIDS. 2008 Feb 19;22(4):457-68. doi: 10.1097/QAD.0b013e3282f4ddfc.