Summary
Jonathan Strahl is a Principal Data Scientist with a decade of experience applying probabilistic machine learning to sustainability, chemistry, and industrial computer vision problems. He leads AI labs and MLOps initiatives at Kemira, driving PoCs, RAG LLM deployments, and platform practices like MLflow and Gitflow to translate research into production value. With a PhD focus on graph neural networks and probabilistic modelling from Aalto University and publications at AAAI/IUI, he bridges rigorous research with hands-on engineering. His background includes building real-time defect detection systems, cloud NLP prototypes, and earlier careers as a backend developer in top banks, giving him rare fluency across research, software engineering, and enterprise delivery. He routinely reviews for top ML conferences and brings that deep literature awareness into strategic vendor and partnership evaluations. Notably, he continues PhD work part-time while operationalizing LLMs and MLOps at scale, combining academic depth with practical impact.
10 years of coding experience
15 years of employment as a software developer
Phd, Computer Science, Phd, Computer Science at Aalto University
BSc, Multimedia and Digital Systems, BSc, Multimedia and Digital Systems at University of Sussex
Distinction, Computer Studies, Distinction, Computer Studies at Hastings College of Arts and Technology
Spanish, German, Finnish, English