Vianney Hully
About Vianney Hully
Vianney Hully is a Senior Data Infrastructure Engineer at Pasqal, specializing in quantum technology and data analysis. He has over 16 years of experience in software development, having previously worked at Quomodo SAS and Publicis Groupe.
Current Role at PASQAL
Vianney Hully serves as a Senior Data Infrastructure Engineer at Pasqal, a position he has held since 2023. In this role, he contributes to the development and maintenance of quantum computing machines. His responsibilities include managing extensive data analysis to ensure accessibility for scientists, engineers, and technicians. His expertise in data infrastructure supports Pasqal's mission in advancing quantum technology.
Previous Experience at Quomodo SAS
Prior to joining Pasqal, Vianney Hully worked at Quomodo SAS as Responsable développement logiciel SAAS from 2010 to 2022. During his 12 years in this role, he was based in Cachan, Île-de-France, France. His work focused on software development for Software as a Service (SAAS) solutions, contributing to the company's technological advancements.
Experience at Publicis Groupe
Vianney Hully was employed at Publicis Groupe as Responsable développement logiciel SAAS from 2006 to 2010. Over the course of four years in Gentilly, Île-de-France, France, he specialized in software development for SAAS applications. His role involved overseeing projects that enhanced the company's software offerings.
Educational Background
Vianney Hully studied at Institut d'Optique Graduate School, where he earned a Diplôme d'ingénieur in Ingénierie laser et optique from 1996 to 1998. He furthered his education by completing a Data Engineer program at DataScientest.com in 2022, which lasted for two months. This educational foundation supports his expertise in data engineering and quantum technology.
Specialization in Quantum Technology
Vianney Hully specializes in the quantum technology of neutral atoms, a critical aspect of Pasqal's quantum computing solutions. His knowledge in this area enables him to effectively contribute to the development of quantum computing machines, facilitating advanced data analysis and research capabilities.