Guillaume Barrois

Guillaume Barrois has a strong background in data science and technology. Guillaume started their career as an Intern in R&D at L'Oréal, where they developed an imaging tool for hair analysis. Guillaume then worked as an Operator at Smurfit Kappa and as a Manual Worker at E. Leclerc.

In 2011, Barrois pursued higher education, completing a Master's degree in the Bioengineering department at Imperial College London. During this time, they focused on the assessment of power Doppler for the prognosis of trophoblastic neoplasia.

After their Master's degree, Barrois joined Sorbonne Université as a research assistant and later as a Ph.D. student in medical image processing. Guillaume'sresearch focused on the development of image and signal processing algorithms for cancer treatment.

Following their doctoral studies, Barrois worked at SNCF as a Data Scientist, where they led projects to improve revenue management using machine learning models. Guillaume was also involved in data science consulting and change management.

Barrois then joined Liegey Muller Pons as the Lead Data Scientist, responsible for data science and data engineering. Guillaume was in charge of R&D projects and the development of a data warehouse to gather and analyze various data sources.

Currently, Barrois holds the role of Chief Technology Officer at eXplain, an AI company for professionals in the public sector. Guillaume'sresponsibilities include using NLP and AI for task automation and focusing on high-value tasks that require human expertise.

Guillaume Barrois has an extensive education history. Guillaume began their academic journey in 2010 at Imperial College London, where they earned a Master of Science degree in Bioengineering with a specialization in medical imaging in 2011. Following this, they pursued further studies at Sorbonne Université, where they obtained a Doctor of Philosophy (PhD) in Medical Imaging from 2011 to 2014. Concurrently, they also attended Collège des Ingénieurs from 2011 to 2014, completing a Master of Business Administration (MBA) with a focus on Business Administration and Management.

In addition to their formal education, Guillaume Barrois has also acquired additional certifications. In September 2014, they completed the course "Introduction to Data Science" from Coursera. During the same month, they also obtained a certification in "Machine Learning" from the same institution.

Based on the provided information, no assumptions can be made regarding Guillaume Barrois's career or current occupation.