Franck Boizard
7
Documents
Site web
- https://boizardstat.shinyapps.io/floex/
Présentation
My scientific journey is a true patchwork, where applied statistics serve as the guiding thread. I have delved into the identification of biomarkers for kidney diseases, explored the proteome, engaged in sunflower breeding, and more recently, investigated pollutants in river waters.
This diverse journey has provided me with the opportunity to apply statistical methods in fields as varied and complex as these. My role as a statistician lies at the interface of various scientific professions, making sense of the data I receive. The priority of my work has always been the pursuit of innovative and relevant solutions. To achieve this, it's essential to respect the perspectives of data producers, understanding their language and challenges. It's also crucial to address the needs of those who will use the data, ensuring that the solutions developed are not only useful but also user-friendly. Thus, each stage of my journey has deepened my mastery of applied statistics while tackling exciting scientific challenges.
Looking ahead to my postdoctoral journey, I emphasize applied statistics as the cornerstone. My goal is to develop practical tools and methodologies tailored to the needs of data producers and end-users. I am driven by the desire to find effective solutions that blend the rigor of statistics with the efficiency of scientific programming.
Compétences
Rshiny
R
Modelisation
Statistics
Data curation
Publications
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Mapping of the amniotic fluid proteome of fetuses with congenital anomalies of the kidney and urinary tract identifies plastin 3 as a protein involved in glomerular integrityJournal of Pathology, In press, Online ahead of print. ⟨10.1002/path.5703⟩
Article dans une revue
inserm-03268515v1
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Amniotic fluid peptides predict postnatal kidney survival in developmental kidney diseaseKidney International, 2021, 99 (3), pp.737-749. ⟨10.1016/j.kint.2020.06.043⟩
Article dans une revue
inserm-03268524v1
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PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithmsScientific Reports, 2021, 11 (1), pp.5764. ⟨10.1038/s41598-021-85135-3⟩
Article dans une revue
hal-03268300v1
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Apelin affects the mouse aging urinary peptidome with minimal effects on kidneyScientific Reports, 2019, 9 (1), ⟨10.1038/s41598-019-47109-4⟩
Article dans une revue
inserm-02481300v1
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Variety testing innovation for new challenges and a more resilient agriculture: The example of oilseeds and protein crops in Switzerland26e Edition Congrès international francophone 3R (Rencontres Recherches Ruminants). Wébinaire Satellite Projet CASDAR OtoP-3D, AFZ, INRAe, IDELE, Jan 2023, Par visioconférence, France. pp.69-70
Communication dans un congrès
hal-03940649v1
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Du protéome urinaire vers le protéome tissulaire rénal : analyse des réseaux d'interaction protéines-protéines (Genotoul Biostat Bioinfo day, Toulouse, 13/12/18)Genotoul Biostat Bioinfo day 2018, Plateforme de Biostatistique- Génopole Toulouse Midi-Pyrénées, France, Dec 2018, Toulouse, France
Communication dans un congrès
hal-03044250v1
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Application de la biologie des systèmes pour l'identification de marqueurs moléculaires des maladies rénales dans les fluides biologiquesBio-Informatique, Biologie Systémique [q-bio.QM]. Université Paul Sabatier - Toulouse III, 2019. Français. ⟨NNT : 2019TOU30157⟩
Thèse
tel-02735976v1
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