Bio
I'm Magnus, a PhD student at the University of Gothenburg, with previous industry experience in machine learning. My research interests center around blockchain technology and machine learning applied within financial economics. During the doctoral studies my main focus has been on evaluating trading and price efficiency on decentralized exchanges. I've analyzed primary transaction-level data by running an Ethereum archive node. In another paper, I've also used natural language processing to study financial narratives in central bank communication. I graduate in June 2023 and plan to continue working with statistics, programming, and finance in blockchain technology. Visit my webpage at https://magnushansson.xyz/