EMILIE SORET

Picture EMILIE SORET

IP Expertise

  • Patent drafting and prosecution
  • Patentability analysis
  • Prior art searches

Technical Expertise

  • Computing and software
  • Artificial intelligence
  • Machine learning
  • Neural networks
  • Cryptography
  • Telecoms

Qualifications

  • PhD in Applied Mathematics – Lille 1
  • Masters in probability and statistics – Rennes 1

Presentation

Émilie obtained a Masters specializing in probability and statistics from the University of Rennes 1 in 2011. She then obtained a PhD in Applied Mathematics from the INRIA, Lille, studying a branch of mathematical physics applied to probability. Émilie then spent two years working at the CNRS, followed by a further three years at the INRIA of Nice Sophia Antipolis as a research engineer, where she studied interference in wireless networks and randomly interacting neural models. She also worked for a year as a teaching and research assistant at the University of Nice.

Émilie joined BEAUMONT in 2020, where she has been trained in patent drafting, mainly in the fields of computing, cryptography and machine-learning.