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Content 2
  • member
  • team
  • department
  • center
  • program_project
  • nrc
  • whocc
  • project
  • software
  • tool
  • patent
  • Administrative Staff
  • Assistant Professor
  • Associate Professor
  • Clinical Research Assistant
  • Clinical Research Nurse
  • Clinician Researcher
  • Department Manager
  • Dual-education Student
  • Full Professor
  • Honorary Professor
  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
  • Project Manager
  • Research Associate
  • Research Engineer
  • Retired scientist
  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
  • Director of Institute
  • Director of National Reference Center
  • Group Leader
  • Head of Facility
  • Head of Operations
  • Head of Structure
  • Honorary President of the Departement
  • Labex Coordinator
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CV

Hi there!

I’m a computational biologist, but I was originally trained as an experimentalist. During my PhD at the Weizmann Institute (Israel), I devised a method to detect events of protein mistranslation across entire proteomes in high throughput Mass Spectrometry data, and studied the biological implications of the error pattern we observed in E. coli and S. cerevisiae. After a quick detour in the private sector as a data analyst in an EEG startup, I returned to my first love for microbial evolution.

In Aude’s lab, I helped developing a method to find eukaryotic counterparts to recently discovered prokaryotic defense systems, which lead to the discovery of unsuspected links between the prokaryotic and eukaryotic immune systems, and shed light on unknown parts of the human immune system.

At the moment I’m developing and training Large Language Models to reconstruct partially masked fragments of bacterial genomes. These models show promising results in terms of inferring the biological function of unknown genes, and might serve as a way to annotate mobile genetic elements from scratch.