Resume

This resume can be downloaded as a PDF file by clicking here (French) or here (English).


Work experience

2022/06 -

Bioinformatics Engineer, Stilla Technologies

  • Developed automated defect detection tools, enabling effective defect tracking and root cause identification to improve digital PCR chip quality and reliability
  • Implemented interactive image annotation tools feeding databases, providing essential data for the development and refinement of automated detection algorithms
  • Developed a web scraping tool, automating repetitive data collection tasks, resulting in faster digital PCR assay development
  • Developed a new vignetting (flat-field) correction method, ensuring compliance with QC criteria of numerous instruments to be released

2019/11 - 2022/06

R&D Data Scientist, Microbs

  • Pioneered the development of monitoring and analysis tools for the R&D team, enabling to efficiently identify product quality improvement solutions
  • Developed, assessed and integrated machine learning - based bacteria recognition algorithms

2016/11 - 2019/11

PhD Student, Agrocampus Ouest, IRMAR (UMR CNRS 6625)


Dependence handling for global testing and prediction problems

  • Comparison and development of global testing methods in the context of genome-wide association studies (GWAS), namely for the detection of
    • gene - disease association effects
    • gene - environmental factor interaction effects
    • gene - gene interaction effects
  • Development of genotypic data simulation algorithms used to conduct realistic simulation studies, specifically to assess the performance of competing detection methods in GWAS
  • Regression on highly correlated explanatory variables; application on chemometrics datasets

Teaching experience

2018 - 2019

Agrocampus Ouest

General statistics for agronomy engineering students

2014 - 2015

Université Rennes 2

Tutoring in mathematics for students preparing an applied mathematics bachelor degree

Skills

Statistics and machine learning

  • Descriptive and inferential statistics
  • Data visualization
  • Modelling
  • Supervised and unsupervised machine learning algorithms

Computer vision

  • Image analysis and processing (namely using OpenCV)
  • Deep learning (multi-layer perceptrons, convolutional neural networks)

Software development

  • Programming languages: Python, R
  • Databases: relational databases, SQL
  • Version control, production: Git, CI, Docker, Docker Compose
  • Testing: unit tests, UI tests

Languages

  • French: native
  • English: proficient

Education

2016 - 2019

PhD in Statistics, Agrocampus Ouest, IRMAR (UMR CNRS 6625)

2014 - 2016

Master of Statistics, Université Rennes 2