Simon Daniel Eiriksson

Data Scientist / ML Engineer with extensive experience delivering end-to-end analytics on large-scale Danish public health data (national registries, regional reporting).

After more than a decade working with health data in Denmark, I returned to university a few years ago to explore my long-standing interest in machine learning. Now, in October 2025, I have completed an M.Sc. in Mathematical Modelling \& Computation from the Technical University of Denmark, with strong foundations in modern ML and probabilistic methods.

My theoretical interests centres around probabilistic machine learning, Bayesian inference, generative modeling and deep learning. I also have a thing for temporal data and time series.

Before I began my master’s at DTU, I had a small one-man company named Eiriksson Consulting Aps, through which I helped a few public sector customers with health data analysis, ETL and the like. I have closed it for now, but it might be revived if necessity comes.

Even before that, I was trained in anthropology from University of Copenhagen, and a few eons ago, I recieved my bachelor in mathematics from University of Copenhagen.

You can check out my CV for further information about my slightly winding path through life.