Paul-David Zuercher

Paul Zuercher

Position

Enrichment Student

Cohort year

2024

Partner Institution

Bio

Paul-David Zuercher is a PhD student at the University of Cambridge, specialising in Digital Twins for Manufacturing Operations Management at the Institute for Manufacturing. He aims to modernise manufacturing techniques for today’s resource-limited economy by developing virtual environments that help employees understand the economic impact of their actions. This approach connects them to the broader value chain, unlocking their economic potential. To achieve this, Paul combines human interaction, digital twins, and machine learning. His academic career began with a Bachelor of Science (BSc) at the Technical University of Darmstadt. Since 2019, he has been researching immersive technologies and artificial intelligence at Cambridge for his BSc and Master of Science (MSc) dissertations. As an entrepreneur, Paul has served as: (1) (Chief Technical Officer) CTO of Oakenshield.io, co-developing a large-scale warehouse management platform; (2) CTO of Jengu.io LTD, developing neuromorphic computing hardware for Human-AI co-evolution; (3) and is currently the CTO of the University of Cambridge’s Learning Environment Optimisation Research Group, developing a platform to automate the optimisation of virtual environments using large-scale experimentation. Paul looks forward to connecting with you. Feel free to message him on LinkedIn or schedule a meeting through his website.

Research interests

Paul-David Zuercher is a PhD Student at the University of Cambridge. He studies Digital Twins for Manufacturing Operations Management at the University of Cambridge’s Institute for Manufacturing. He optimise production lines of manufacturing companies using causal model-based reinforcement learning. His unique approach involves maximising the value of production by utilising prior knowledge of managers and operators with a distincting focus on real cases and people. He is driven by a passion to bring AI to the shop-floor. Ultimately, Paul's project aims to seamlessly integrate AI into manufacturing, act sustainable, creating value, and helping companies stay competitive.