Summary
Janne Kauttonen is a Senior Researcher and applied AI specialist with nine years of multidisciplinary experience bridging statistical physics, neuroscience, and machine learning. Holding a PhD in statistical physics, he has driven computational research and funding-winning projects at institutions including Haaga-Helia, Aalto, and Carnegie Mellon, applying advanced methods from dynamical systems to generative AI. He combines deep technical skills in Python, algorithm design and scientific computing with hands-on experience in fMRI and neural data analysis, simulation, and network modeling. Known for turning complex data into actionable insights, he advises industry partners on AI implementation and maintains a public code collection on GitHub that supports his research reproducibility. Based in Espoo, Finland, he thrives on interdisciplinary problems and continuous learning, often finding novel links between theoretical models and practical analytics.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Jyväskylän yliopisto
Finnish, English, Swedish