He holds a PhD in mathematical statistics and is an associate professor of statistics, and has worked as a consultant since 2010. Thulin helps organisations make better use of their data, from complex datasets to small measurement series, by applying rigorous statistical analysis, mathematical modelling, and algorithms tailored to the problem.

His services include data analysis and visualisation, automation, forecasting, decision support, biostatistics, machine learning, and data mining. He also provides training courses and talks on statistics, R, machine learning, and AI, for audiences including researchers. His work draws on experience across varied fields, including medicine, energy, manufacturing, and workplace issues. Thulin’s approach emphasises understanding how data were collected, asking the right questions, and selecting methods that suit the evidence rather than relying uncritically on standard models or AI-generated code. He is also the author of Modern Statistics with R, which supports learners in building a sound foundation in statistics and programming.