Camilla Birch Okkels

Born: May 29th 1997

Email: cabi@itu.dk

Scientific Interests:

  • Machine learning algorithms
  • AI
  • Neural networks
  • Quantum Mechanics

Numerical tools

  • Python: form several courses during my studies.
  • LaTeX: from writing assignments and projects from various courses throughout my studies.
  • MATLAB: from lab work in courses  at the beginning of my bachelor.

Languages

Danish: native, English: fluent

Recent projects

 

Aug. 20th 2021 – Jun. 10th 2022 M.Sc. Thesis:

– Theoretical optimizations of quantum repeaters based on atomic
ensembles

 

Niels Bohr Institute, University of Copenhagen.

The thesis explored Quantum Repeater protocols under the
assumption of an idealized photon source. It explored simpler as
well as more advanced protocols using atomic ensembles for
quantum memories. Furthermore it looked into how well the
protocols performed when taking into account imperfections such as
photon loss, detector efficiency and dark counts.
Final grade: 10

Apr. 2021 – Jun. 2021 Machine learning project: Identifying
insolubles in IceCore data

I worked on a project to identify materials in images using a
convolutional neural network. The project gave me experience in
pre-processing the images, creating and optimizing the neural
network as well as illustrating, presenting and analyzing the results.

 

Work experience

 

Apr. 2020 – Jun. 2020 Teachers Assistant

I was a teachers assistant, or instructor, in the course Statistical
Physics. This involved helping the students solve weekly problems
and understanding the material. Since this was during the
pandemic, all teaching was done online over zoom.

2016 – 2019 Tutor

Worked at the company “Din tutor” as a tutor. I taught
mathematics from 9th grade in the danish “folkeskole” to 3rd year
of the danish “gymnasie” on A-level.

Education

 

2020 – 2022 Masters in Physics

– with a specialization in Quantum Physics

Niels Bohr Institute, University of Copenhagen.

Masters project: Theoretical optimizations of quantum repeaters based on atomic ensembles

Aug. 2019 – Dec. 2019 Machine learning course at UBC in Canada

Link to course description here.

2017 – 2020 Bachelor in Physics

Niels Bohr Institute, University of Copenhagen

Bachelors project: Quantum phenomena in information processing tasks

2013 – 2016 Danish Studentereksamen

Himmelev Gymnasium,
Math and physics at A-level
Grade point average: 10,9 (danish grading system)