Virtonomy.io
Fabien Péan has a diverse work experience in the field of engineering and research. Fabien is currently working as a Senior Simulation Engineer at Virtonomy.io since February 2022. Prior to this, they worked as a Research Engineer at Universitätsklinik Balgrist from December 2020 to March 2021. Before that, they served as a Research Assistant at ETH Zürich from October 2015 to May 2020. Fabien also worked as a Research Assistant at Technische Universität München from November 2014 to March 2015, with additional roles including a Master Thesis from August 2014 to February 2015 and a Research Assistant from January 2014 to July 2014. Fabien Péan began their career as an Intern at Inria from May 2012 to September 2012.
Fabien Péan's education history is as follows:
From 2008 to 2010, Fabien Péan attended Lycée Gabriel Touchard, where they studied mathematics, physics, and engineering.
From 2010 to 2015, they attended Centrale Lille, where they obtained an Engineer's diploma (Dipl.-Ing.) in engineering.
From 2012 to 2015, Fabien Péan pursued their Master of Science (M.Sc.) degree in Computational Science and Engineering at the Technical University of Munich.
Finally, from 2015 to 2021, they studied at ETH Zürich, where they earned a Doctor of Science degree. The field of study for their doctoral program is not provided.
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Virtonomy.io
Virtonomy is shortening time-to-market of medical products by conducting data driven studies on virtual patients. Our solution is based on an ever-expanding database to reflect anatomical variability, demographic diversity and pathological conditions. We support medical device manufacturers in the various phases of the product life cycle, from concept phase, over pre-clinical evaluation to post-market surveillance: better understand the target anatomy, find the optimal fit of the device to treat the maximum number of patients, identify the right in-vivo model, and improve clinical trials by proper sub-population selection. Virtonomy is headquartered in Munich, Germany, and combines an interdisciplinary team of experts in medical engineering, image and data processing, visualization and clinical practice.