Kusti Skytén is an Associate Data Scientist with a decade of experience in Bayesian methods, probabilistic programming, and simulator-based inference, currently at PyMC Labs. With research roles at the University of Oslo and Aalto University, he has applied approximate Bayesian computation and optimization to real-world problems such as modeling Streptococcus pneumoniae population dynamics and vaccine strategies. A Cambridge-trained mathematician, he pairs rigorous statistical thinking with hands-on software craftsmanship—having built his first website at 11 and now exploring formal verification tools like Dafny and Lean to improve software reliability. He brings strong communication and collaborative skills honed through teaching and improv/stand-up performance, and his trajectory from struggling with high-school math to Cambridge graduate and national-level weightlifter underscores resilience and fast learning.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree Chemical Engineering, Bachelor's degree Chemical Engineering at Aalto University
Master's degree Mathematics and Statistics, Master's degree Mathematics and Statistics at University of Cambridge
High School Science, High School Science at Etela-Tapiolan lukio
Bachelor of Science - BS Mathematics and Statistics, Bachelor of Science - BS Mathematics and Statistics at University of Helsinki
English, Finnish, Swedish, Norwegian, Chinese, German
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