I am an engineering student working towards a Master of Science in Machine Learning at KTH Royal Institute of Technology in Stockholm, Sweden. My bachelor was in Engineering Physics. I am looking for thesis work autumn 2021 and full time positions as Machine Learning Engineer or as a Data Scientsit from spring 2022.

In machine learning, I am mainly interested in adversarial attacks, explainability and uncertainty estimation in the context of deep learning. My bachelor thesis explored variations of DeepFool and FGSM attacks. We managed to create a directed variation of DeepFool and to extend the attacks to L_0 norm.

I have interned at Nasdaq during summer 2019 and part time after that, working with Monte Carlo methods for central counterparty risk calculations in finance. I have also intered at Megger during summer 2018, working with OCR and image processing.

At KTH, I was part of the team in International Physicists’ Tournament in 2017 and 2018. Our most notable achievemnt is that we won the national qualifaction round and placed 8th of 18 temas in 2017. I am also involved in a student musical called Fysikalen and chariman/producer of its latest production Skattkammarën.

Before univeristy, I worked at Mycronic within R&D of ejectors of solder paste. During high school, I was one of the winners of the national science fair and took part of Intel ISEF. I also competed in the International Young Physicists’ Tournament in Thailand 2015.

On my spare time, I like to be outdoors and to grow vegetables.

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