Research

Assistant Professor in Statistics, MAP5, IUT Paris-Rives de Seine, Université Paris Cité

Responsabilities

• Associate editor of the International Journal of Biostatistics

Research interests

• Statistical learning
  • high-dimension
  • graphical models
  • penalized linear regressions
  • sparse methods
  • clustering
  • statistical modelling
• Computational biology
  • gene regulatory network inference
  • applications to medical research
  • multi-omics data integration

Current projects

• In collaboration with Mathilde Pacault (Centre Hospitalier Régionale Universitaire, Brest), Camille Verebi (Hôpital Cochin, Paris) and Juliette Nectoux (Hôpital Cochin, Paris), we are working on Sequential Probability Ratio Tests with applications to Non-Invasive Prenatal Diagnosis (NIPD).

• In collaboration with Camille Champion (Université Paris Cité), I am also interested in regularized spectral clustering techniques for clustering large perturbed graphs. We are now working on applications of the l1-spectral clustering algorithm we developped on kidney cancer data.

Supervision of students

On-going supervisions:

• Bachelor thesis:
  • Clements Kirchner (Bachelor of Mathematics, ETH Zürich) on “Clustering algorithms of gene networks using cancer data”

Past supervisions:

• Semester thesis:
  • Julia Netzel (Master of Applied Mathematics, ETH Zürich) on “Handling Gender Bias in NLP Models” (4 months in 2022)
• Bachelor thesis:

  • Michael Vollenweider (Bachelor of Computational Science and Engineering, ETH Zürich) on “Benchmark of gene regulatory network inference methods” (5 months in 2022)

  • Riccardo Fumagalli (Bachelor of Mathematics, ETH Zürich) on “Identification of genes involved in the development of ER+ breast cancer” (3 months in 2022)

• Semester projects:

  • Gauthier Pervieux (Undergraduate student in data science, IUT de Paris) on “Breast cancer statistical study” (2 months in 2021)

  • Marina Atangana and Michael Tsimi (Undergraduate students in Data Science, IUT de Paris) on “Statistical analysis of airbnb data” (2 months in 2021)

  • Reyna Zhang (Master of Statistics, Stanford University) on “Data fusion for predicting cancer survival” (2 months in 2016)

  • Teun de Planque and Christopher Elamri (Bachelor of Computer Science and Electrical Engineering, Stanford University) on “Identifying genes with prognostic DNA methylation rates for breast cancer survival” (2 months in 2016)

• High-school student internship

  • Nabeel Mamoon (High school student, winner of the Stanford Institutes of Medicine Summer Research program) on “Analysis of statistical signatures in methylation-guided automated carcinoma diagnosis” (2 months in 2015)