Cynthia Périer

Cynthia Périer

 

PHD student (2016 – )

Supervisors: Olivier Saut, Baudouin Denis de Senneville

 

Software engineer (2014 – 2016)

 

Research Interest:

  • Medical images processing and analysis
  • Radiomics : evolution of morphological and textural features of tumors
  • Machine/deep learning for prediction (grade of tumor, response to treatment, relapse …)

 

Background:

Work experience:

  • 2014 – 2016: Software engineer for MONC team. Development of the papriK python library (toolbox for medical images processing) with continuous integration on gitlab and CI Inria.
  • 2014: 6 months internship in EPFL (Lausanne). Agent based modeling of fish shoals behavior.

Education:

  • 2016-now: Doctoral training (data sciences, AI, ethics)
  • 2014: Master’s degree in Bioinformatics
  • 2012: BS degree in Biology of Organisms and Ecosystems

 

Lab activities:

Teaching:

Since 2017 ENSEIRB-MATMECA (INP Bordeaux):
Spring 2014 at EPFL:

 

Publications:

+ reviewer for British Journal of Radiology Open

Seminars:

  • Workshop HTE, Paris Nov. 2018. Radiomics to improve prediction of response in soft-tissue sarcomas treated by chemotherapy.
  • Journées Francophones de Radiologie, Paris Oct. 2018.  T2-based MRI-radiomics to improve prediction of histologic response in soft-tissue sarcomas treated by neoadjuvant chemotherapy – preliminary results.
  • Workshop Cancéropôle Grand Ouest, Le Bono, Sep. 2017.  Textural analysis of pancreatic cancer during radiotherapy and machine learning.

 

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