Axel Johansson

Computational social scientist with a keen interest in leveraging computational methods & data science to understand and address complex human behavior through policy. Bringing a unique mix of deep technical knowledge while informing modelling decisions & conclusions with insights from the social sciences and knowledge about governmental- and economic systems. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in deep learning, web scraping, exploratory data analysis & feature engineering. Background in economics and political science as well as domain knowledge in organizational science and segregation research, including housing- and school segregation. Further skills include qualitative methods such as interviews and observation along with some experience of management through local NGO elected position. Most recent project leveraged computer-vision and natural language processing technology to measure complex biases in newspaper reporting. Trained in and always informed by big data- and AI ethics.