Laurent DENARIE

Laurent DENARIE has a diverse range of work experience in various roles and industries. Laurent began their career as an R&D engineer intern at SKF Transroll, where they worked on semi-automation of tasks on the assembly line. Laurent then interned at Sopra Group, where they developed software for a French company in preparation for the opening of rail transport to competition.

After their internships, Laurent joined aVB Solutions as an Information Systems Consultant, where they redesigned a social declaration web platform for a French pension institution. Laurent then moved on to AIRPX TECHOPS as an R&D Engineer, where they developed predictive maintenance and monitoring software for aircraft fleets.

In 2013, Laurent joined Ownpage Technology as an R&D Engineer, focusing on the development of a recommendation engine for online press articles. Later that year, they started their Ph.D. at LAAS-CNRS, working on robotics-inspired methods to enhance protein design. Laurent'swork involved designing and implementing protein conformational landscape exploration methods using C++ and mechanical, robotics-inspired modeling of proteins.

During their Ph.D., Laurent also worked as a Teaching Assistant at INSA Toulouse, where they assisted with various teaching responsibilities.

Most recently, Laurent joined EasyMile in 2017 as an R&D Engineer, although specific details about their role are not provided. Overall, Laurent's work experience showcases their expertise in R&D engineering, software development, and robotics-inspired methods for protein design.

Laurent DENARIE obtained a Diplôme d'ingénieur in Computer Engineering from Centrale Lille from 2005 to 2008. In 2013 to 2017, they pursued a Doctor of Philosophy - PhD in Artificial Intelligence from Toulouse INP. Laurent also completed a Master of Engineering (M.Eng.) in Computer Software Engineering from Centrale Lille during the same period of 2005 to 2008. Additionally, they obtained certifications in Artificial Intelligence Planning from Coursera in March 2015 and in Machine Learning from Coursera in May 2014.