Benjamin Audren is a data engineer and DevOps consultant at ELCA Informatique SA / ELCA Informatik AG since January 2015, specializing in acceptance testing frameworks, Continuous Integration and Continuous Delivery, and modern version control workflows. Prior to this, Benjamin completed a PhD at EPFL from October 2010 to November 2014, where a Monte Carlo code for Bayesian parameter extraction in Python was developed, now utilized by the cosmology community. Benjamin also holds a Master of Science in Theoretical and Mathematical Physics from École normale supérieure de Lyon (2007-2010) and has further academic experience at Uppsala University in 2009.
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