Teaching & supervision

Teaching

• Survival analysis – From introductive notions to machine learning, MSc. Public Health and Massive Health Data – Université Paris Cité
  • Presentation [html]
  • Exam [html]
  • Slides [Course 1: Survival analysis] [Course 2: Competing and recurrent events] [Course 3: Prediction models] [Course 4: ML for survival analysis]
  • TP [TP0] [TP1] [TP2] [TP3]

Project tutoring

• Interpretability for machine learning in survival framework, M1 ENSAE Paris (2024) [github]

• Text mining and care pathways in heart failure patients, M1 ENSAE Paris (2023) [github]
  This work led to a presentation at Journées de Biostatistique 2023 in Toulouse, France

• Modelling mortality amongst ICU patients, M1 ENSAI (2023)

• Application of adaptive design approaches in phase III trials, M1 ENSAI (2023)

• Simulating recurrent events in survival framework, M1 ENSAI (2022)

• Learning algorithms to measure unbiased effect of statins on overall survival amongst Covid+ patients, M1 ENSAI (2022)

Internship supervision

• Interim analyses and conditional power in adaptive clinical trial design, CIC1418 APHP HEGP – Maud M, Research internship, M1 ENSAI (2023)
  This work led to a presentation at Journées de Biostatistique 2023 in Toulouse, France

• Impact of multicollinearity of covariates in clinical trials randomization, CIC1418 APHP HEGP – Hugo C, Research internship, M1 ENSAI (2023)
  This work led to a presentation at Journées de Biostatistique 2023 in Toulouse, France

• Resuscitated cardiac arrest in ICU using MIMIC-IV data, CIC1418 APHP HEGP – Hélène S, Research internship, M1 ENSAI

• Stakes and challenges of adaptive design in clinical trials, CIC1418 APHP HEGP – Emilie J, Research internship, M1 ENSAI (2022)
  This work led to a presentation at Journées de Biostatistique 2022 in Rennes, France

• How to deal with correlation in variable selection, CIC1418 APHP HEGP – Ranujan K, Research internship, M1 ENSAI (2022)

• Machine learning for survival endpoints, Institut de recherche mathématique de Rennes – Timothé R, Research internship, M1 Université de Rennes 1 (2021)
  This work led to a presentation at Journées de Statistique 2022 in Lyon, France

• How to better consider treatment switch in randomized controlled trials? Amaris HEMA – Claire F, M2 internship, M2 ENSAI (2020)