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PhD

Université Paris-Cité, laboratoire MAP5 & Institut Curie, Unité U1331

• Design of randomized clinical trials using differences of quantiles in the presence of right-censored data
• Under the supervision of
  • Olivier Bouaziz (Paul Painlevé laboratory, Université de Lille)
  • Aurélien Latouche (U1331, Institut Curie & Cnam)

Ecole d'ingénieur

Ecole nationale de la statistique et de l'administration économique (ENSAE Paris)

• Holder of the France Excellence Eiffel scholarship
• Specialisation in Data Science, Statistics and Machine learning

Undergraduate degree

Federal University of Rio de Janeiro (UFRJ)

• Degree in Applied Mathematics with specialisation in Scientific Computing

Teaching Assistant

Université Paris-Saclay

• Responsible for the exercise classes of Recherche Clinique from the first year of the Public Health Master's degree from Université Paris Saclay

Student representative in the Fédération Parisienne de Modélisation Mathématique (FP2M)

• Organising research events between the laboratories MAP5, Modal'X and SAMM

Research Internship

MAP5, Université Paris-Cité & U1331, Institut Curie

• Master 2 internship focusing on the design of clinical trials using differences of quantiles in the presence of censored data
• Under the supervision of
  • Olivier Bouaziz
  • Aurélien Latouche

Research Internship

Amundi Institute

• Master 1 internship on modeling scope 3 carbon emissions using supply chain data
• Under the supervision of
  • Takaya Sekine

Research Internship

Federal University of Rio de Janeiro

• Undergraduate internship on the study of Hybrid Dynamical models, joining machine learning and differential equations
• Under the supervision of
  • Ricardo Rosa

Research Project

Federal University of Rio de Janeiro

• Modeling and simulation of Epidemics, focusing on COVID-19 pandemic
• Julia and Python packages
• Under the supervision of
  • Ricardo Rosa

Research internship

Federal University of Rio de Janeiro & Shell

• Scale build-up prediction modeling for Multiphase Flow at oil fields
• Under the supervision of
  • Fabio Ramos