Måns Thulin is an associate professor of mathematics and seasoned data science consultant with over a decade of applied experience translating advanced statistics and AI into real-world solutions across domains from agriculture and healthcare to defense and the arts. Awarded the 2015 Cramér prize for best Swedish PhD thesis in statistics, he is the author of Modern Statistics with R (now in its second edition and freely available), and has taught statistics and mathematics at Uppsala University and the University of Edinburgh. He co-founded T&S Engineering Intelligence and runs a long-standing consultancy, bringing hands-on expertise in R, Python, machine learning, deep learning, SQL and Shiny to interdisciplinary teams. His work is notable for tackling unconventional prediction problems—improving milking robots, identifying nuclear fuel, predicting violent conflicts, and even designing music videos—demonstrating a rare blend of theoretical rigour and creative problem framing. He is an engaging public speaker and mentor who thrives on translating complex analytics into practical decisions for diverse audiences.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mathematical Statistics, Doctor of Philosophy (Ph.D.) Mathematical Statistics at Uppsala University
Contributions:10 commits, 8 pushes, 1 branch in 1 year
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