Welcome to my page ! I am a Data Scientist in the Translational Research Team of Resilience Care, a digital solution dedicated to remote monitoring and personalized support for oncology patients, and an affiliated researcher in statistics at the Center for Research in Economics and Statistics (CREST, ENSAE).

I hold a PhD in Statistics from CREST and Polytechnique Institute of Paris, supervised by Nicolas Chopin and Pr. Xavier Jouven.

My research focuses on developing statistical methods for analyzing large-scale healthcare data. I am particularly interested in time series analysis of electronic health records, real-world evidence in epidemiology, Bayesian methods and causal inference analysis.

Work experience

• Since May 2023: Data Scientist
  • Resilience Care, Translational Research Team
  • Real-world evidence studies based on Patient-Reported Outcomes.
  • Developing innovative data science solutions in oncology to define a new approach to patient care and personalize the care pathway.
• Since September 2023: Affiliated Researcher
  • Center for Research in Economics and Statistics (CREST, ENSAE)
  • Leading research projects at the intersection of mathematics and health.
  • Member of the Graph4Health ANR Project, led by Philippe Choné
• 2019-2023: PhD candidate in statistics
  • CREST, ENSAE & Paris Cardiovascular Research Center
  • Exploring risk factors and prediction models for sudden cardiac death with machine learning.
  • Large-scale data processing of the French National Healthcare Data System (SNDS).

Works in progress

• Disparties of chronic obstructive pulmonary disease management in French critical care units (with Dr. Lucie Fanet as part of the Graph4Health Project).

• Prediction of causes of death following cardiac arrest in intensive care units (with Dr. Wulfran Bougouin, AfterROSC Research Network).

• ODISSÉE Project: analysis of care pathways and management of status epilepticus based on the French National Healthcare Data System (with Pr. Stéphane Legriel, IctalGroup and Salima El Kolei).

Publications

• Youssfi, Y., and Chopin, N. Scalable Bayesian bi-level variable selection in generalized linear models. Foundations of Data Science (2024).
• Javaudin, F., Canon, V., Heidet, M., Bougouin, W., Youssfi, Y., et al. HIV status and lay bystander cardiopulmonary resuscitation initiation for witnessed cardiac arrest. Resuscitation (2024).
• Binois, Y., Renaudier, M., Dumas, F., Youssfi, Y., et al. Factors associated with circulatory death after out-of-hospital cardiac arrest: a population-based cluster analysis. Ann Intensive Care (2023).
• Anys, C., Billon Mazzella, J. M., Karam, N., Pechmajou, L., Youssfi, Y., et al. Mort subite, en quête d’une explication. Annales de Cardiologie et d’Angéiologie (2021).

Education

• Ph.D in Statistics, CREST, ENSAE & Paris Cardiovascular Research Center, 2019 - 2023
  • Exploring risk factors and prediction models for sudden cardiac death with machine learning.
  • Supervisors: Nicolas Chopin and Pr. Xavier Jouven.
• M.Sc Data Science (with highest honors), National School for Statistics and Information Analysis, 2015 - 2019
• Bachelor in Economics, Paris 1 Panthéon-Sorbonne University, 2012 - 2014
• Classes Préparatoires aux Grandes Écoles ENS Cachan D2, Lycée Turgot, 2012 - 2015

Contact

Feel free to reach out to me at younes.youssfi@ensae.fr or connect with me on LinkedIn. I’d be happy to discuss potential collaborations and research opportunities.