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Dan Saattrup Nielsen's work experience is as follows:

- Senior AI Specialist at Alexandra Instituttet since June 2022 (ongoing).

- Machine Learning Consultant at BLACKBIRD.AI from March 2022 to June 2022, working on improving misinformation detection algorithms.

- Postdoctoral Researcher in Machine Learning at the University of Bristol from May 2021 to June 2022.

- Senior Machine Learning Consultant at the Danish Business Authority from June 2020 to May 2021.

- Machine Learning Specialist at LYS Technologies Limited from February 2020 to May 2020, responsible for building the LYS Light Engine.

- Teaching Assistant at the University of Bristol from February 2017 to February 2020, and Assistant Lecturer in April 2018.

- AI Researcher at Barbal from September 2019 to January 2020.

- Visiting Researcher at Rutgers University from February 2019 to March 2019.

- Teaching Assistant at the University of Copenhagen from January 2014 to July 2016.

- Junior Programmer at GE Revision & RÃ¥dgivning from May 2009 to January 2014, automated the company's accounting process and developed cash register software.

Dan Saattrup Nielsen's education history is as follows:

From 2016 to 2020, Dan Saattrup Nielsen attended the University of Bristol, where they earned a Doctor of Philosophy (PhD) degree in Mathematics.

Prior to that, from 2014 to 2016, Dan Saattrup Nielsen studied at Københavns Universitet - University of Copenhagen, where they obtained a Master of Science (MSc) degree in Mathematics.

From 2011 to 2014, Dan Saattrup Nielsen also attended Københavns Universitet - University of Copenhagen for their Bachelor of Science (BSc) degree in Mathematics.

Furthermore, in 2013, they briefly studied Mathematics and Philosophy at the University of Leeds.

Before their university education, from 2008 to 2011, Dan Saattrup Nielsen completed the Higher Commercial Examination Programme at Niels Brock, focusing on Business/Commerce, General.

In addition to their formal education, Dan Saattrup Nielsen has obtained several certifications. These include Unit Testing in Python and Python: Design Patterns from LinkedIn, the Natural Language Processing Nanodegree from Udacity, and the Deep Learning Specialization, Machine Learning, and IBM Data Science Specialization from Coursera.