Chris has experience in a range of services, including novelty assessments, invention tracking, and creating dashboards for capturing key IP metrics. He uses his academic experience to specialise in examining IP and technology involving AI and machine learning. He also uses his coding experience to design tools to aid in data processing and analysis.
Previously, Chris worked as a business analyst for the insurer IAG New Zealand, where he was responsible for building software tools to help the claims handlers track and interpret large quantities of data on earthquake claims. He graduated from the University of Southampton with a First-Class Honours Master’s degree in Physics, where his thesis focused on computational lattice quantum mechanics. He then went on to complete a PhD in Computer Science at the University, researching algorithms for coordinating groups of autonomous drones to aid first responders in disaster relief scenarios. During this time, he was the lead author on two academic papers for the ICAPS and PAIS conferences on autonomous systems.