Dr Jingyu Feng is the Facility Manager of DIGIBAT, Imperial College London’s state-of-the-art automated energy research facility. He specializes in high-throughput automation and digital tools designed to accelerate the discovery of net-zero technologies, bridging the critical gap between fundamental materials science and industrial-scale R&D.

At DIGIBAT, Jingyu oversees the integration of robotic platforms—including the SWingXL and Cellerate for glovebox coin-cell assembly, automated synthesis systems (Flex Catscreen), and the AutoCatX for parallel electrocatalysis—into a unified "Digital Twin Lab." This is achieved through orchestration platforms such as Arksuite and a customised data pipeline with advanced data structures. Having led the facility's setup from the ground up, Jingyu now manages its daily operations and actively collaborates with users to transform their manual experimental bottlenecks into scalable, reproducible workflows that generate high-quality data for AI-driven optimization (e.g., NIMO and AMlearn).

Background Jingyu holds a PhD in Chemical Engineering from Imperial College London, where his research focused on the design of PGM-free catalysts and nanomaterials synthesis. Prior to leading DIGIBAT, he worked as a Materials Scientist at The Tyre Collective, leading R&D projects on sustainable materials, and conducted research at Queen Mary University of London (QMUL). This blend of academic rigour and industrial product development experience drives his approach to facility management, ensuring DIGIBAT serves both academic discovery and commercial innovation.