Adam Burke

PhD, School of Information Systems

Adam Burke is a computer scientist researching process mining, the computational construction and analysis of process models from organizational event log data. It is one technique within the field of Business Process Management (BPM), which studies the improvement of processes in real-world organizations. His current research focuses on automatic discovery and conformance of stochastic process models mined from event logs, including models of process change over time.

Adam has held a variety of technical and software lead roles at banks, exchanges, government regulators and consultancies in Singapore, Australia and the UK, particularly in electronic and algorithmic trading. This has included development, architecture, big data, QA and Agile/DevOps transformation roles, and presentation at industry conferences. Other research interests include technical debt and sociotechnical systems. He is a member of the BPM group at QUT, and currently pursuing a PhD within the School of Information Systems.