Pixyl
Agnès LABADIE - AIZIER has a diverse work experience spanning various industries. Agnès is currently working as a Customer Success Manager at Pixyl since September 2022. Prior to that, they worked as a Mathematics Teacher at UCO LAVAL from September 2021 to June 2022.
Agnès also has experience in the healthcare sector, having worked as an Engineer in Biomedical at CHU Grenoble Alpes from June 2016 to June 2017. Agnès also worked as a Product Specialist at IMACTIS, specializing in computer-assisted interventional radiology, from January 2013 to May 2016.
In addition, Agnès has held various sales and project management roles. Agnès worked as a US delegate for Medicalps from January 2012 to January 2013, Sales Engineer at EVEON and Fluoptics from January 2012 to January 2013, and as an Internship Project Manager at Adebag (Grenoble Health Cluster) from February 2011 to August 2011. Agnès also worked as a Project Manager at CRAFOD (Regional Center of Support and Formation for Development) from December 2009 to July 2010.
Agnès started their career as a Researcher at the Teaching Hospital Hotel Dieu in June 2009. Overall, they have a strong background in customer success management, mathematics teaching, biomedical engineering, product specialist, sales, and project management.
From 2007 to 2011, Agnès LABADIE - AIZIER attended Grenoble INP - UGA where they pursued a master's degree in Engineering. Their field of study focused on Systems for biomedical technologies and business development.
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Pixyl
Pixyl’s neuroimaging cloud platform facilitates data-driven and value-based patient care by making decision-critical neuroimaging information accessible to clinicians, when it matters. We deliver automatic neuroimaging biomarker extraction for improved insight and decision-making in clinicalstudies and routine clinical practice.Our cloud-basedsolutions are designed for seamless integration into the workflows of imaging CROs, neuroradiologists and neurologists. Our platform, Pixyl.Neuro, leverages advanced machine learning methods to deliver quantitative measures of brain atrophy and/or lesion quantification and classification for MS, Stroke, and neurodegenerative diseases.