Background

I (b. 1990) am a data scientist with a background in physics, applied mathematics, software engineering and foundational research.

I was a postdoc and PhD student at DTU Compute and the Center for Social Data Science in Sune Lehmann's lab. We published papers on community detection in temporal networks, user behavior in online platforms and human mobility. We published our work in Nature. I worked on the HOPE project and built a comprehensive mobility tracking site, supporting the Danish government in their response to the COVID-19 pandemic. I taught multiple courses in data science and deep learning at DIS Copenhagen and the University of Copenhagen, and learned valuable lessons about communicating. communicating. Throughout my career, I have developed a number of open source tools that I am proud of, notably Infostop and Netwulf. I concluded my academic career in 2020 and worked at various startups. I later joined Precis Digital where I developed their Bayesian MMM which is currently in production (see Alvie) delivering marketing performance insights for multiple major brands.

I currently work as an independent data science consultant. I mainly consult with clients on Bayesian MMM and generative AI through PyMC Labs, but I have extensive experience in the broader domains of machine learning, AI, data visualization, and statistics, and I enjoy working on difficult, high-value technical problems, so do reach out ☕️.