Emilie Lundbye Dalsgaard has a diverse work experience in the field of data science and teaching.
Emilie currently works as a Senior Data Scientist at Amsterdam Data Collective since June 2022. In this role, they collaborate with teams in different locations and focuses on data science, data anthropology, and impact strategy.
Prior to this, Emilie worked at PFA, starting in April 2017. Emilie held the position of Senior Data Scientist and was responsible for various tasks, including leading the tech team for PFA's Customer Engagement model. Emilie also played a key role in developing and deploying machine learning algorithms for live production.
Before joining PFA, Emilie had teaching experience as a Teaching Assistant at DTU Compute, Technical University of Denmark from August 2013 to December 2016. Emilie assisted in teaching statistics, discrete mathematics, and advanced general mathematics courses.
In addition, Emilie worked as an Academic Employee at the Department of Neuroscience and Pharmacology at Københavns Universitet from August 2015 to December 2015.
Overall, Emilie Lundbye Dalsgaard has a strong background in data science, teaching, and academic research.
Emilie Lundbye Dalsgaard has a strong educational background in mathematics and computational modeling. Emilie obtained a Bachelor's Degree in Mathematics and Technology from DTU - Technical University of Denmark from 2011 to 2015. Following this, they pursued a Master's Degree in Mathematical Modelling and Computation at the same institution from 2015 to 2017.
During their educational journey, Emilie spent a year in 2016 studying Mathematics and Statistics at Purdue University. Additionally, they completed their high school education at Bornholms Gymnasium, where they received their STX degree in Science from 2007 to 2010. Emilie's educational history showcases their commitment to mathematics and its practical applications in various fields.
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