Oliver Poole

Oliver Poole joined the SDSC in December 2025 as Data Scientist for the Innovation team in Zurich.

Prior, Oliver completed his bachelor's and master's degrees in mechanical engineering from ETH Zurich, with research on custom 3D-printed metallic springs for (non-)linear stiffness customization and reinforcement learning applications in control systems. He developed anomaly detection systems for X-ray images of mechanical parts, milk foam quality assessment using computer vision and sensor data, and data-driven flow control strategies and extraction consistency for coffee machines. His work bridges physical engineering intuition with machine learning, focusing on robust models that connect sensor data directly to measurable outcomes in industrial systems.