Profil professionnel
Vue d'ensemble
Compétences
Informations complémentaires
Education
Projets réalisés
Certificats
Generic
RICETTI Clara

RICETTI Clara

Regulatory Affairs & Clinical Data Analysis
Pontault Combault

Profil professionnel

Motivated and detail-oriented Biomedical Sciences student at Université Paris Cité, with a strong academic background in biostatistics, clinical research and neuroscience. Passionate about the rigorous validation of AI-based medical devices, I am eager to apply my statistical skills and scientific mindset in a regulatory strategy context. I am particularly inspired by the opportunity to contribute to Sonio’s mission, combining medical innovation, data ethics and patient impact. Seeking a challenging internship where I can learn from real-world regulatory and clinical validation processes while bringing dedication, curiosity, and a results-driven attitude.

Vue d'ensemble

1
1
Certification

Compétences

    Statistical Tools: R, Excel (advanced), basic Python (pandas/statsmodels)
    Biostatistics: Clinical endpoints, AUROC, sensitivity/specificity, sample size estimation
    Regulatory Insight: Familiar with FDA/CE pathways for AI-based diagnostic tools
    Languages: French (native), English (fluent – academic and scientific writing)

Informations complémentaires

  • Medical Innovation
  • Regulatory Strategy
  • Data Ethics in AI
  • Scientific Writing
  • Prenatal Health


Education

Université Paris CitéBachelor’s Degree in Biomedical Sciences
Expected June 2025

  • Specialization: Public Health & Biostatistics
  • Top grades in Statistical Methods, Epidemiology, and Clinical Data Analysis

Projets réalisés

Illusions and Perception in Phantom Limb Syndrome: Neurophysiological and Statistical Perspectives

  • Investigated the mechanisms of phantom limb illusions from both central and peripheral nervous system perspectives.
  • Integrated recent findings on cortical plasticity and dorsal root ganglion (DRG) alterations post-amputation.
  • Highlighted the mismatch between visual and proprioceptive feedback as a key component in pain perception.
  • Analyzed and synthesized primary literature to explain the clinical relevance of illusions in neurorehabilitation.
  • Collaborated within a 3-member team; responsible for scientific writing and integration of statistical data from clinical studies.

Certificats

Population Health: Responsible Data Analysis – Universiteit Leiden / Coursera (2025)

  • Explores how to responsibly collect, interpret and analyze health data at a population level
  • Topics include causal inference, bias and confounding, ethical considerations in health data analysis
  • Focused on real-world applications in public health and healthcare systems decision-making
RICETTI ClaraRegulatory Affairs & Clinical Data Analysis