CV


Currently

PhD Student at CWI in the Scientific Computing Group.


Education

  • 2019: M.Sc. in Mathematical Modeling and Computing from DTU
  • 2016: B.Sc in Mathematics and Technology from DTU

Exchange Stays

  • 2017 – 2018 Technical University of Munich
  • 2015: University of Adelaide

Summer/Winter Schools

  • 2018: International Graduate Summer School on Frontiers of Applied and Computational Mathematics, Shanghai Jiao Tong University, China.
  • 2017: Experiencing China 2017, Tsinghua University, China.

Working Experience

  • 2019: Research Assistant at DTU.
  • 2016 – 2019: Student Assistant at Ørsted.
  • Teaching Assistant
    • 2018 and 2019: Scientific Computing for Differential Equations (02685).
    • 2018: Advanced Engineering Mathematics 2 (01025).
  • 2014 – 2016: Science communicator at Experimentarium.

Internships

  • 2018: Institute of Natural Sciences, Shanghai Jiao Tong University, China. Supervisor: Prof. Lei Zhang. On the topic of Variational Integrators and Liquid Crystals. Final report available below:

Online Course

  • Coursera specialization on deep learning offered by Deeplearning.ai and taught by Prof. Andrew Ng, containing five courses:
    • Neural Networks and Deep Learning
    • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    • Structuring Machine Learning Projects
    • Convolutional Neural Networks
    • Sequence Models

Hackethons and Case Competitions

  • 2020: Healtcare Hackathon, organized by CarePay, CorrelAid, Pharm Access Foundation, and Red Cross.
  • 2018: Inviso Case Competition in cooperation with Novo Nordisk A/S.
  • 2017: Maersk Tankers Hackathon.

Awards

  • Teaching Assistant of the Year 2018. Awarded by Polyteknisk Forening at DTU.

Volunteering

  • 2013: Football coach and sports teacher at USA River primary school in Arusha, Tanzania, via Projects Abroads.