The founders of Johnman Lane have extensive experience in synthesising large and complex datasets using tailor-made algorithms and programs.

Mark Johnman

Mark enjoys hiking, running, videography, MMA, surfing and art. He is passionate about using these interests, along with his background in artificial intelligence and data analytics, to build and grow organizations developing next generation technologies that materially improve the health, happiness and financial position of their customers. Prior to Johnman Lane, Mark was a lecturer and researcher at Bond University's Business School. He has completed a PhD in data analytics , as well as undergraduate degrees in actuarial science and IT. His research includes projects in cross-channel media attribution and optimization, sports analytics and financial trading systems. He is also an Associate of the Actuaries Institute of Australia (AIAA).

Matthew Lane

Throughout his career and undergraduate degree in Actuarial Science / Data Science, Matthew has developed an extensive skillset in developing business solution logic, algorithms, artificial intelligence, and visualisations that underpin automated Business Intelligence (BI) components and software. Passionate about empowering organisations in becoming more effective and efficient through data-powered decision making, he has applied his skillset within industries such as Health Services / Hospitals and Marketing. Alongside his career, Matthew is passionate about family and hobbies such as music and fitness.